Schematics for replacement of the unknown Sxl-GFP nuclear background with the isogenic w1118 background
Figure S1: Crossing scheme used to create a standard homozygous GFP-w line. Males from this line were crossed with females carrying a specific mitochondrial haplotype, to create experimental mitolines. These newly produced lines carried the mitochondrial haplotype of the female and were heterozygous for the Sxl-GFP construct. G1 = the first generation of the cross.
Here we include all code used to run our analysis, our rationale behind the modelling approaches, and all remaining supplementary tables and figures.
# load relevant packages
library(lme4) # for the lmer and glmer mixed model functions
library(lmerTest) # Used to get p-values for lmer models using simulation. It over-writes lmer() with a new version, which gives p-values
library(glmmTMB) # for zero-inflated glms
library(brms) # for Bayesian models
library(car) # for type III Anova's
library(dplyr) # data re-shaping
library(MuMIn) # for model selection and averaging
library(ggplot2) # for plots
library(ggThemeAssist) # a plot formatting add in
library(ggridges) # for joy plots
library(ggExtra) # for ggplot enhancements - primarily ggMarginal()
library(ggstance) # for ggplot enhancements - can create more horizontal plots
library(ggpubr) # for the ggarrange function
library(ggbeeswarm) # violin plots with data points
library(ggResidpanel) # for model assumption plots
library(kableExtra) # nice tables that can scroll
library(pander) # more nice tables
library(stringr) # helps build functions
library(forcats) # for changing the order of factors
# Read in data frame
all_data <- read.csv("mtDNA_larval_competition_data.csv") %>%
arrange(Individual) %>%
mutate(duplicate = str_extract(Strain, "[:digit:]"))
# Create a function for standard error - generally useful and needed for later
SE <- function(x) sd(x)/sqrt(length(x))
# helper for saving stuff and naming the file object.rds
save_it <- function(object){
saveRDS(get(object), file = paste(object, ".rds", sep = ""))}
# Define a standard dodge for the error bar plots
pd <- position_dodge(0.75) # move them 0.3 to the left and right
# function for finding CIs for binomial data
get_CIs_for_binomial_trials <- function(success, failure){
output <- as.data.frame(matrix(NA, nrow = length(success), ncol = 5))
for(i in 1:length(success)){
n <- success[i] + failure[i]
x <- binom.test(success[i], n)
output[i,] <- c(x$estimate,
as.numeric(x$conf.int),
sqrt(x$estimate * (1-x$estimate)/n), # binomial SE = sqrt(p(1-p)/n)
n)
}
names(output) <- c("Proportion", "lowerCI", "upperCI", "SE", "n")
output
}
# e.g. get_CIs_for_binomial_trials(survived = c(10,100), died = c(50,30))
# Clean the dataset up for analysis
# Select the columns we're interested in
fitness_data <- dplyr::select(all_data, Individual, Block, duplicate, Replicate, Sex, Focal.haplotype, Social.haplotype, Mortality, Social.Survival, Development.time..hrs., Day.emerged, Hours.from.lights.on, Wing.size..mm., Female.offspring, Male.offspring, Total.female.assay, Total.red.all.vials, Total.bw.all.vials) %>%
rename(Block = Block, Duplicate = duplicate, Day = Day.emerged, Hours = Hours.from.lights.on, Survived = Mortality, Focal_haplotype = Focal.haplotype, Social_haplotype = Social.haplotype, Social_survival = Social.Survival, Dev_time = Development.time..hrs., Wing_length = Wing.size..mm., Maternal_female_offspring = Female.offspring, Maternal_male_offspring = Male.offspring, Maternal_total_offspring = Total.female.assay, Paternal_focal_offspring = Total.red.all.vials, Patneral_bw_offspring = Total.bw.all.vials)
# Define new levels for mortality to make renaming possible
levels(fitness_data$Survived) <- c(levels(fitness_data$Survived), "NO")
levels(fitness_data$Survived) <- c(levels(fitness_data$Survived), "YES")
# Rename the mortality responses
# L means died as larva, P means died as pupae, N means did not die (i.e. eclosed as an adult)
fitness_data$Survived[fitness_data$Survived == 'L'] <- 'NO'
fitness_data$Survived[fitness_data$Survived == 'P'] <- 'NO'
fitness_data$Survived[fitness_data$Survived == 'N'] <- 'YES'
# Now that it makes sense change "YES" to 1 and "NO" to 0 so we can fit a binomial GLM.
levels(fitness_data$Survived) <- c(levels(fitness_data$Survived), "1")
levels(fitness_data$Survived) <- c(levels(fitness_data$Survived), "0")
fitness_data$Survived[fitness_data$Survived == "YES"] <- 1
fitness_data$Survived[fitness_data$Survived == "NO"] <- 0
# Make the factor numeric
fitness_data$Survived <- as.numeric(as.character(fitness_data$Survived))
# Create specific datasets for each fitness trait
# Remove all rows that contain an NA value in the survival column. The NAs mean things like the GFP sorting did not work, or the vial was never even set up due to a shortage of larvae. So they are not meaningful data, and we remove them here. Also remove NA values in the social survival column as the dredge function won't work with these in the dataset.
survival <- fitness_data %>% filter(!is.na(Survived)) %>% filter(!is.na(Social_survival))
# Remove all rows that contain an NA value in the development time column. This instances represent flies where we failed to measure development time.
larval_development <- fitness_data %>% filter(!is.na(Dev_time)) %>% filter(!is.na(Social_survival))
# Remove all rows that contain an NA value in the wing length column. Wing length was not measured in Blocks 1 and 2.
body_size <- fitness_data %>% filter(!is.na(Wing_length)) %>% filter(!is.na(Social_survival))
# Remove all rows that contain an NA value in the female reproductive output column, and where females did not survive to adulthood (coded as producing 0 offspring).
female_reproductive_output <- fitness_data %>% filter(!is.na(Maternal_total_offspring), Survived == 1) %>% filter(!is.na(Social_survival))
# Male adult fitness
# First remove females from the dataset.
Male_fitness <- all_data %>% filter(!is.na(Total.red.all.vials))
# Create an offspring counted column so that the data is correctly formatted for a binomial model.
Male_fitness$Offspring_counted <- Male_fitness$Total.red.all.vials + Male_fitness$Total.bw.all.vials
# Now lets remove vials where the female produced 0 offspring (this includes trials where the male died in development)
Male_fitness <- Male_fitness %>% filter(!(Offspring_counted == 0))
# Select relevant columns and rename variables
Male_fitness <- select(Male_fitness, Individual, Block, Focal.haplotype, Social.haplotype, Social.Survival, Mortality, Development.time..hrs., Day.emerged, Wing.size..mm., Hours.from.lights.on, Total.red.all.vials, Total.bw.all.vials, Offspring_counted, Proportion.red.all.vials, duplicate) %>%
rename(Focal_male_offspring = Total.red.all.vials, Block = Block, Day = Day.emerged, Hours = Hours.from.lights.on, Survived = Mortality, Focal_haplotype = Focal.haplotype, Social_haplotype = Social.haplotype, Social_survival = Social.Survival, Dev_time = Development.time..hrs., Wing_length = Wing.size..mm., Proportion_focal = Proportion.red.all.vials, Bw_offspring = Total.bw.all.vials, Duplicate = duplicate) %>%
filter(!is.na(Social_survival))
We analysed the data using generalised linear mixed models in the lmer package for R.
Fixed effects
For the analysis of fitness traits expressed in both sexes (survival, development time and body size), we are interested in the effect of an individual’s focal mtDNA, the mtDNA of a social competitor, the effect of a social competitors success, and the effect of sex on fitness. To identify these potential effects each model contained the following fixed effects, and interactions where biologically relevant:
Focal haplotype: the mtDNA haplotype that an individual carries.
Social haplotype: the mtDNA haplotype that a social partner during larval development carries.
Social survival: the survival outcome of the social partner.
Sex: is the focal individual female or male? The social partner will always be of the opposite sex to the focal individual.
We also include:
Duplicate: Each haplotype has been introgressed alongside the w1118 nuclear background in two independent duplicates. WIthin each block we ran multiple replicates that were split in two: half used only duplicate one will the other half used only duplicate two. This fixed effect accounts for any nuclear differences that may have arisen between duplicates.
Random effects
Block: accounts for differences in the response variable between experimental blocks (e.g. to variance in temperature or composition of the fly food). In our experiment a Block contained multiple replicates and a replicate was made up of 25 different cells each housing a pair of larvae.
Model evaluation
Each model was evaluated via AICc values using the dredge function, from the Mumin package . There was rarely a single model that was unequivocally the best fit to the data, so we conducted model averaging for the set of models where delta was < 6, as suggested by Symonds and Moussalli (2011). The present study is a planned experiment to measure the effect of mtDNA on fitness, so we derived model estimates from the conditional model averages.
We fit a glm with binomial errors to model survival
The model:
Survived ~ Focal_haplotype * Social_haplotype * Social_survival + Sex + Duplicate + (1|Block)
# Fit the global model
survival_model <- lme4::glmer(Survived ~ Focal_haplotype * Social_haplotype * Social_survival + Sex + factor(Duplicate) + (1|Block), data = survival, family = "binomial", control = glmerControl(optimizer = "Nelder_Mead", optCtrl=list(maxfun=100000)), na.action = na.fail)
Table S1: Evaluation of the survivorship model. All possible models were evaluated from the global model that included a three-way interaction between focal haplotype, social haplotype and social survival, the stand alone fixed effects sex and duplciate, as well as the random factor block. As there was no clear top model, the final model was calculated via model averaging.
# Compare all possible combinations of models (from the global model)
if(file.exists("survival_dredge.rds")){ # If already done, just load the results
survival_dredge <- readRDS("survival_dredge.rds")
} else {survival_dredge <- dredge(survival_model) # If not already done, run all the models and save the results
lapply(c("survival_dredge"), save_it)
}
survival_table <- subset(survival_dredge, delta < 6, recalc.weights = FALSE) %>% as.data.frame()
names(survival_table)[names(survival_table) == "(Intercept)"] <- "Intercept"
names(survival_table)[names(survival_table) == "factor(Duplicate)"] <- "Duplicate"
names(survival_table)[names(survival_table) == "Focal_haplotype"] <- "Focal haplotype"
names(survival_table)[names(survival_table) == "Sex"] <- "Sex"
names(survival_table)[names(survival_table) == "Social_haplotype"] <- "Social haplotype"
names(survival_table)[names(survival_table) == "Social_survival"] <- "Social survival"
names(survival_table)[names(survival_table) == "Focal_haplotype:Social_survival"] <- "Focal haplotype x Social survival"
names(survival_table)[names(survival_table) == "Focal_haplotype:Social_haplotype"] <- "Focal haplotype x Social haplotype"
names(survival_table)[names(survival_table) == "Social_haplotype:Social_survival"] <- "Social haplotype x Social survival"
names(survival_table)[names(survival_table) == "Focal_haplotype:Social_haplotype:Social_survival"] <- "Focal haplotype x Social haplotype x Social survival"
names(survival_table)[names(survival_table) == "df"] <- "Degrees of freedom"
names(survival_table)[names(survival_table) == "logLik"] <- "Log likelihood"
names(survival_table)[names(survival_table) == "AICc"] <- "AICc"
names(survival_table)[names(survival_table) == "delta"] <- "Delta"
names(survival_table)[names(survival_table) == "weight"] <- "Weight"
pander(survival_table, split.cell = 40, split.table = Inf)
| Intercept | factor(duplicate) | Focal haplotype | Sex | Social haplotype | Social survival | Focal haplotype x Social haplotype | Focal haplotype x Social survival | Social haplotype x Social survival | Focal haplotype x Social haplotype x Social survival | Degrees of freedom | Log likelihood | AICc | Delta | Weight | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | -0.4939 | + | NA | NA | NA | + | NA | NA | NA | NA | 5 | -1282 | 2573 | 0 | 0.352 |
| 22 | -0.5348 | + | NA | + | NA | + | NA | NA | NA | NA | 6 | -1281 | 2575 | 1.275 | 0.1861 |
| 20 | -0.3935 | + | + | NA | NA | + | NA | NA | NA | NA | 9 | -1278 | 2575 | 1.48 | 0.168 |
| 24 | -0.4334 | + | + | + | NA | + | NA | NA | NA | NA | 10 | -1278 | 2576 | 2.796 | 0.08699 |
| 17 | -0.6006 | NA | NA | NA | NA | + | NA | NA | NA | NA | 4 | -1284 | 2577 | 3.476 | 0.06193 |
| 21 | -0.6414 | NA | NA | + | NA | + | NA | NA | NA | NA | 5 | -1284 | 2578 | 4.752 | 0.03272 |
| 19 | -0.5003 | NA | + | NA | NA | + | NA | NA | NA | NA | 8 | -1281 | 2578 | 4.878 | 0.03071 |
| 26 | -0.551 | + | NA | NA | + | + | NA | NA | NA | NA | 9 | -1280 | 2579 | 5.33 | 0.0245 |
Table 1: Conditional model coefficients, standard error and 95% confidence limits are shown for the survivorship to adulthood averaged model. Bold rows indicate signficant effects.
# average the models with delta < 6
Survival_avg <- model.avg(survival_dredge, subset = delta < 6)
survival_CIs <- confint(model.avg(survival_dredge, subset = delta < 6)) %>% as.data.frame()
survival_estimate <- coefTable(model.avg(survival_dredge, subset = delta < 6)) %>% as.data.frame()
survival_model_avg <- data.frame(survival_estimate, survival_CIs) %>% select(Estimate, Std..Error, X2.5.., X97.5..)
names(survival_model_avg)[names(survival_model_avg) == "Estimate"] <- "Conditional average estimate"
names(survival_model_avg)[names(survival_model_avg) == "Std..Error"] <- "Standard Error"
names(survival_model_avg)[names(survival_model_avg) == "X2.5.."] <- "2.5% Interval"
names(survival_model_avg)[names(survival_model_avg) == "X97.5.."] <- "97.5% Interval"
pander(survival_model_avg, split.cell = 40, split.table = Inf, emphasize.strong.rows = (2:4))
| Conditional average estimate | Standard Error | 2.5% Interval | 97.5% Interval | |
|---|---|---|---|---|
| (Intercept) | -0.4923 | 0.2843 | -1.05 | 0.06491 |
| factor(duplicate)2 | -0.2534 | 0.1086 | -0.4662 | -0.0406 |
| Social_survivalN | 0.5304 | 0.1129 | 0.309 | 0.7517 |
| Social_survivalP | 0.8346 | 0.1454 | 0.5496 | 1.12 |
| SexM | 0.08128 | 0.09537 | -0.1056 | 0.2682 |
| Focal_haplotypeBrownsville | -0.07085 | 0.1493 | -0.3634 | 0.2217 |
| Focal_haplotypeDahomey | 0.03746 | 0.1493 | -0.2551 | 0.3301 |
| Focal_haplotypeIsrael | -0.2839 | 0.1507 | -0.5793 | 0.0114 |
| Focal_haplotypeSweden | -0.2074 | 0.1515 | -0.5043 | 0.0895 |
| Social_haplotypeBrownsville | -0.02652 | 0.1502 | -0.321 | 0.2679 |
| Social_haplotypeDahomey | 0.03838 | 0.1499 | -0.2555 | 0.3323 |
| Social_haplotypeIsrael | 0.1995 | 0.15 | -0.0944 | 0.4935 |
| Social_haplotypeSweden | 0.05685 | 0.1517 | -0.2405 | 0.3542 |
# The full average provides a parameter average across all models considered, including ones where the parameter coefficient is set to 0. The conditional average reports coefficents for only the models where the parameter is included.
survival_plot_data <- survival %>%
mutate(Social_survival = replace(as.character(Social_survival), Social_survival == "L", "Died as larva"),
Social_survival = replace(as.character(Social_survival), Social_survival == "P", "Died as pupa"),
Social_survival = replace(as.character(Social_survival), Social_survival == "N", "Survived to adulthood"))
survival_plot_summary <- survival_plot_data %>%
dplyr::group_by(Social_survival) %>%
dplyr::summarise(number_surviving = sum(Survived), number_died = sum(Survived == 0)) %>%
as.data.frame()
survival_CIs <- get_CIs_for_binomial_trials(survival_plot_summary$number_surviving, survival_plot_summary$number_died) %>% rename(Survived = Proportion)
survival_plot_summary <- cbind(survival_plot_summary, survival_CIs)
survival_plot_data %>%
ggplot(aes(x = Social_survival, y = Survived, fill = Social_survival, colour = Social_survival)) +
#geom_quasirandom(data = survival_plot_data, width = 0.5, alpha = 0.5) +
scale_colour_manual(values = c("Died as larva" = "#a50f15", "Died as pupa" = "#fe9929", "Survived to adulthood" = "#41b6c4")) +
geom_point(data = survival_plot_summary, aes(x = Social_survival, y = Survived), size = 3, colour='black') +
geom_errorbar(data = survival_plot_summary, aes(x = Social_survival, ymax = upperCI, ymin = lowerCI, width = 0), colour = "black") +
labs(x = "Survival outcome of social partner", y = "Proportion of larvae surviving to adulthood") +
theme_minimal() +
theme(legend.position = "none") +
theme(panel.grid.major.x = element_blank())
Figure 1: Survivorship to adulthood is affected by the success of a social partner. Black points show the mean proportion of larvae that successfully eclosed, with 95% confidence limits.
survival_mtDNA_summary <- survival_plot_data %>%
dplyr::group_by(Focal_haplotype) %>%
dplyr::summarise(number_surviving = sum(Survived), number_died = sum(Survived == 0)) %>%
as.data.frame()
survival_mtDNA_CIs <- get_CIs_for_binomial_trials(survival_mtDNA_summary$number_surviving, survival_mtDNA_summary$number_died) %>% rename(Survived = Proportion)
survival_mtDNA_summary <- cbind(survival_mtDNA_summary, survival_mtDNA_CIs)
survival_plot_data %>%
ggplot(aes(x = Focal_haplotype, y = Survived, fill = Focal_haplotype, colour = Focal_haplotype)) +
#geom_quasirandom(data = survival_plot_data, width = 0.5, alpha = 0.5) +
#scale_colour_manual(values = c("Barcelona" = "#a50f15", "Brownsville" = "#fe9929", "Dahomey" = "#41b6c4", "Israel" = "#238443" , "Sweden" = "#4a1486")) +
geom_point(data = survival_mtDNA_summary, aes(x = Focal_haplotype, y = Survived), size = 3, colour='black') +
geom_errorbar(data = survival_mtDNA_summary, aes(x = Focal_haplotype, ymax = upperCI, ymin = lowerCI, width = 0), colour = "black") +
labs(x = "mtDNA haplotype", y = "Proportion of larvae surviving to adulthood") +
theme_minimal() +
theme(legend.position = "none") +
theme(panel.grid.major.x = element_blank())
Figure 2: The black points show the mean proportion of larvae surviving to eclose for each mtDNA haplotype and its 95% confidence limits.
density_development_plot <- ggplot(larval_development)+
stat_density_ridges(aes(x=Dev_time, y = NA, fill = Sex), alpha = 0.7, scale = 12, position = position_nudge(y = -0.5), show.legend = T) +
geom_vline(xintercept = 238, linetype = 2) +
geom_vline(xintercept = 262, linetype = 2) +
geom_vline(xintercept = 286, linetype = 2) +
xlab("Egg-to-adult development time (hours)") +
ylab("Kernel density estimate") +
theme_bw()+
scale_fill_manual(values = c("F" = "#e41a1c", "M" = "#377eb8"), labels = c("Female", "Male")) +
scale_x_continuous(limits = c(220, 310), breaks = c(220, 230, 240, 250, 260, 270, 280, 290, 300, 310)) +
scale_y_discrete(expand = c(.0,0.0))+
theme(panel.spacing = unit(0.1, "lines"),
text = element_text(size=16),
panel.border= element_blank(),
axis.line=element_line(),
panel.grid.major.x = element_blank(),
panel.grid.major.y = element_blank(),
panel.grid.minor.y = element_blank(),
panel.grid.minor.x = element_blank(),
axis.text.y=element_blank(),
axis.ticks.y=element_blank(),
axis.title.x = element_text(hjust = 0.5, size = 14))
density_development_plot
Figure S2: The distribution of egg-to-adult development time, split by sex. Dashed lines indicate when lights were turned each morning and highlight the relationship between light and eclosion.
The response variable has a trimodal distribution, that can be potentially explained by the lab’s artificial day-night cycle. When the lights turn on at 7am, eclosion is stimulated.
The model:
Dev_time ~ Focal_haplotype * Social_haplotype * Social_survival + Sex + Duplicate + (1|Block)
# Fit the linear model
linear_dev_model <- lmer(Dev_time ~ Focal_haplotype * Social_haplotype * Social_survival + Sex + factor(Duplicate) + (1|Block), larval_development, na.action = na.fail, REML = FALSE)
Lets have a look at model diagnostics
resid_panel(linear_dev_model)
Despite the data being trimodal, the linear model appears to fit the data adequately. The residuals vs fitted plot indicates that the mean and variance share no relationship. The Q-Q Plot shows that points fall off at the extremes, but generally conform to a linear pattern.
Table S2: Evaluation of the development time model. All possible models were evaluated from the global model that included a three-way interaction between focal haplotype, social haplotype and social survival, the stand alone fixed effects sex and duplciate, as well as the random factor block. As there was no clear top model, the final model was calculated via model averaging.
# Use dredge to compare all possible models derived from the global model
Dev_time_linear_dredge <- dredge(linear_dev_model, extra = "R^2")
development_table <- subset(Dev_time_linear_dredge, delta < 6, recalc.weights = FALSE) %>% as.data.frame()
names(development_table)[names(development_table) == "(Intercept)"] <- "Intercept"
names(development_table)[names(development_table) == "(factor(Duplicate))"] <- "Duplicate"
names(development_table)[names(development_table) == "Focal_haplotype"] <- "Focal haplotype"
names(development_table)[names(development_table) == "Social_survival"] <- "Social survival"
names(development_table)[names(development_table) == "Social_haplotype"] <- "Social haplotype"
names(development_table)[names(development_table) == "Focal_haplotype:Social_survival"] <- "Focal haplotype x Social survival"
names(development_table)[names(development_table) == "Focal_haplotype:Social_haplotype"] <- "Focal haplotype x Social haplotype"
names(development_table)[names(development_table) == "Social_haplotype:Social_survival"] <- "Social haplotype x Social survival"
names(development_table)[names(development_table) == "Focal_haplotype:Social_haplotype:Social_survival"] <- "Focal haplotype x Social haplotype x Social survival"
names(development_table)[names(development_table) == "df"] <- "Degrees of freedom"
names(development_table)[names(development_table) == "logLik"] <- "Log likelihood"
names(development_table)[names(development_table) == "AICc"] <- "AICc"
names(development_table)[names(development_table) == "delta"] <- "Delta"
names(development_table)[names(development_table) == "weight"] <- "Weight"
pander(development_table, split.cell = 40, split.table = Inf)
| Intercept | factor(Duplicate) | Focal haplotype | Sex | Social haplotype | Social survival | Focal haplotype x Social haplotype | Focal haplotype x Social survival | Social haplotype x Social survival | Focal haplotype x Social haplotype x Social survival | R^2 | Degrees of freedom | Log likelihood | AICc | Delta | Weight | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 21 | 257.7 | NA | NA | + | NA | + | NA | NA | NA | NA | 0.1265 | 6 | -2992 | 5996 | 0 | 0.2432 |
| 22 | 258.3 | + | NA | + | NA | + | NA | NA | NA | NA | 0.1286 | 7 | -2991 | 5996 | 0.2766 | 0.2118 |
| 23 | 259.1 | NA | + | + | NA | + | NA | NA | NA | NA | 0.1345 | 10 | -2988 | 5997 | 1.251 | 0.1301 |
| 24 | 259.7 | + | + | + | NA | + | NA | NA | NA | NA | 0.1364 | 11 | -2988 | 5997 | 1.656 | 0.1062 |
| 17 | 258.9 | NA | NA | NA | NA | + | NA | NA | NA | NA | 0.1199 | 5 | -2995 | 5999 | 3.587 | 0.04047 |
| 29 | 256.7 | NA | NA | + | + | + | NA | NA | NA | NA | 0.1318 | 10 | -2990 | 5999 | 3.651 | 0.03919 |
| 18 | 259.5 | + | NA | NA | NA | + | NA | NA | NA | NA | 0.122 | 6 | -2994 | 6000 | 3.827 | 0.03589 |
| 30 | 257.4 | + | NA | + | + | + | NA | NA | NA | NA | 0.1339 | 11 | -2989 | 6000 | 3.898 | 0.03463 |
| 19 | 260.2 | NA | + | NA | NA | + | NA | NA | NA | NA | 0.1284 | 9 | -2991 | 6000 | 4.528 | 0.02528 |
| 31 | 258.1 | NA | + | + | + | + | NA | NA | NA | NA | 0.1401 | 14 | -2986 | 6001 | 4.698 | 0.02322 |
| 20 | 260.8 | + | + | NA | NA | + | NA | NA | NA | NA | 0.1303 | 10 | -2990 | 6001 | 4.909 | 0.02089 |
| 32 | 258.7 | + | + | + | + | + | NA | NA | NA | NA | 0.142 | 15 | -2985 | 6001 | 5.093 | 0.01906 |
| 88 | 260.7 | + | + | + | NA | + | NA | + | NA | NA | 0.151 | 19 | -2981 | 6001 | 5.614 | 0.01469 |
Table 2: Conditional model coefficients, standard error and 95% confidence limits are shown for the egg-to-adult development time averaged model. Bold rows indicate signficant effects.
# Model averaging
Dev_time_avg <- (model.avg(Dev_time_linear_dredge, subset = delta < 6))
Dev_CIs <- confint(model.avg(Dev_time_linear_dredge, subset = delta < 6)) %>% as.data.frame()
Dev_estimate <- coefTable(model.avg(Dev_time_linear_dredge, subset = delta < 6)) %>% as.data.frame()
Dev_model_avg <- data.frame(Dev_estimate, Dev_CIs) %>% select(Estimate, Std..Error, X2.5.., X97.5..)
names(Dev_model_avg)[names(Dev_model_avg) == "Estimate"] <- "Conditional average estimate"
names(Dev_model_avg)[names(Dev_model_avg) == "Std..Error"] <- "Standard Error"
names(Dev_model_avg)[names(Dev_model_avg) == "X2.5.."] <- "2.5% Interval"
names(Dev_model_avg)[names(Dev_model_avg) == "X97.5.."] <- "97.5% Interval"
pander(Dev_model_avg, split.cell = 40, split.table = Inf, emphasize.strong.rows = c(2:4, 7, 16))
| Conditional average estimate | Standard Error | 2.5% Interval | 97.5% Interval | |
|---|---|---|---|---|
| (Intercept) | 258.5 | 2.64 | 253.4 | 263.7 |
| SexM | 2.208 | 0.9481 | 0.3498 | 4.066 |
| Social_survivalN | 4.314 | 1.297 | 1.771 | 6.857 |
| Social_survivalP | 4.348 | 1.456 | 1.494 | 7.201 |
| factor(Duplicate)2 | -1.417 | 1.069 | -3.513 | 0.6782 |
| Focal_haplotypeBrownsville | -2.141 | 1.523 | -5.125 | 0.8435 |
| Focal_haplotypeDahomey | -3.146 | 1.57 | -6.224 | -0.06845 |
| Focal_haplotypeIsrael | -2.016 | 1.701 | -5.351 | 1.318 |
| Focal_haplotypeSweden | 0.09168 | 1.594 | -3.032 | 3.216 |
| Social_haplotypeBrownsville | 1.389 | 1.526 | -1.602 | 4.38 |
| Social_haplotypeDahomey | -0.6548 | 1.47 | -3.536 | 2.227 |
| Social_haplotypeIsrael | 1.805 | 1.455 | -1.046 | 4.657 |
| Social_haplotypeSweden | 1.848 | 1.488 | -1.068 | 4.763 |
| Focal_haplotypeBrownsville:Social_survivalN | 1.68 | 3.334 | -4.854 | 8.214 |
| Focal_haplotypeDahomey:Social_survivalN | 3.709 | 3.331 | -2.82 | 10.24 |
| Focal_haplotypeIsrael:Social_survivalN | 7.56 | 3.543 | 0.6156 | 14.5 |
| Focal_haplotypeSweden:Social_survivalN | 0.531 | 3.426 | -6.184 | 7.246 |
| Focal_haplotypeBrownsville:Social_survivalP | -2.46 | 4.086 | -10.47 | 5.548 |
| Focal_haplotypeDahomey:Social_survivalP | 2.377 | 3.897 | -5.261 | 10.01 |
| Focal_haplotypeIsrael:Social_survivalP | -3.205 | 4.225 | -11.49 | 5.075 |
| Focal_haplotypeSweden:Social_survivalP | -3.884 | 4.396 | -12.5 | 4.732 |
larval_development_plot_data <- larval_development %>%
mutate(Social_survival = replace(as.character(Social_survival), Social_survival == "L", "Died as larva"),
Social_survival = replace(as.character(Social_survival), Social_survival == "P", "Died as pupa"),
Social_survival = replace(as.character(Social_survival), Social_survival == "N", "Survived to adulthood"),
Sex = replace(as.character(Sex), Sex == "F", "Female"),
Sex = replace(as.character(Sex), Sex == "M", "Male"))
larval_development_summary <- larval_development_plot_data %>%
dplyr::group_by(Social_survival, Sex) %>%
dplyr::summarise(Mean_Dev_time = mean(Dev_time), Lower = (Mean_Dev_time - SE(Dev_time)* 1.96), Upper = (Mean_Dev_time + SE(Dev_time)*1.96), n = n()) %>% rename(Dev_time = Mean_Dev_time)
larval_development_plot_data %>%
ggplot(aes(x = Social_survival, y = Dev_time, fill = Social_survival, colour = Social_survival)) +
geom_quasirandom(data = larval_development_plot_data, width = 0.3, size = 2, alpha = 0.5) +
scale_colour_manual(values = c("Died as larva" = "#a50f15", "Died as pupa" = "#fe9929", "Survived to adulthood" = "#41b6c4")) +
geom_point(data = larval_development_summary, aes(x = Social_survival, y = Dev_time), size = 3, colour='black') +
geom_errorbar(data = larval_development_summary, aes(x = Social_survival, ymax = Upper, ymin = Lower, width = 0), colour = "black") +
geom_hline(yintercept = c(238, 262, 286), linetype = 2, colour = "grey", alpha = 0.5) +
facet_wrap(~ Sex) +
labs(x = "Survival outcome of social partner", y = "Egg-to-adult development time (hrs)") +
theme_minimal() +
theme(legend.position = "none") +
theme(panel.grid.major.x = element_blank())
Figure 3: Egg-to-adult development time is affected by an individual’s sex and the success of a social competitor. The coloured points show the development time for individual flies. The black points show the mean development time for males and females and its 95% confidence limits. Dashed lines indicate when lights were turned each morning and highlight the relationship between light and eclosion.
development_mtDNA_summary <- larval_development_plot_data %>%
dplyr::group_by(Focal_haplotype) %>%
dplyr::summarise(Mean_Dev_time = mean(Dev_time), Lower = (Mean_Dev_time - SE(Dev_time)* 1.96), Upper = (Mean_Dev_time + SE(Dev_time)*1.96), n = n()) %>% rename(Dev_time = Mean_Dev_time)
larval_development_plot_data %>%
ggplot(aes(x = Focal_haplotype, y = Dev_time, fill = Focal_haplotype, colour = Focal_haplotype)) +
geom_quasirandom(data = larval_development_plot_data, width = 0.3, size = 2, alpha = 0.5) +
scale_colour_manual(values = c("Barcelona" = "#a50f15", "Brownsville" = "#fe9929", "Dahomey" = "#41b6c4", "Israel" = "#238443" , "Sweden" = "#4a1486")) +
geom_point(data = development_mtDNA_summary, aes(x = Focal_haplotype, y = Dev_time), size = 3, colour='black') +
geom_errorbar(data = development_mtDNA_summary, aes(x = Focal_haplotype, ymax = Upper, ymin = Lower, width = 0), colour = "black") +
geom_hline(yintercept = c(238, 262, 286), linetype = 2, colour = "grey", alpha = 0.5) +
labs(x = "mtDNA haplotype", y = "Egg-to-adult development time (hrs)") +
theme_minimal() +
theme(legend.position = "none") +
theme(panel.grid.major.x = element_blank())
Figure 4: Egg-to-adult development time is affected by an individual’s mtDNA haplotype. The coloured points show the development time for individual flies. The black points show the mean development time for males and females and its 95% confidence limits.
We use wing length as a proxy for adult body size. Errors are normally distributed, therefore we fit a linear mixed model.
The model:
Wing_length ~ Focal_haplotype * Social_haplotype * Social_survival + Sex + Duplicate + (1|Block)
body_size_model<- lmer(Wing_length ~ Focal_haplotype * Social_haplotype * Social_survival + Sex + factor(Duplicate) + (1|Block), body_size, na.action = na.fail, REML = FALSE)
Lets have a look at model diagnostics
resid_panel(body_size_model)
Table S3: Evaluation of the wing length model. All possible models were evaluated from the global model that included a three-way interaction between focal haplotype, social haplotype and social survival, the standalone fixed effects sex and duplicate, as well as the random factor ‘Block’. As there was no clear top model, the final model was calculated via model averaging.
# Compare all possible combinations of models (from the global model)
body_size_dredge <- dredge(body_size_model)
size_table <- subset(body_size_dredge, delta < 6, recalc.weights = FALSE) %>% as.data.frame()
names(size_table)[names(size_table) == "(Intercept)"] <- "Intercept"
names(size_table)[names(size_table) == "factor(Duplicate)"] <- "Duplicate"
names(size_table)[names(size_table) == "Focal_haplotype"] <- "Focal haplotype"
names(size_table)[names(size_table) == "Sex"] <- "Sex"
names(size_table)[names(size_table) == "Social_survival"] <- "Social survival"
names(size_table)[names(size_table) == "Social_haplotype"] <- "Social haplotype"
names(size_table)[names(size_table) == "Focal_haplotype:Social_survival"] <- "Focal haplotype x Social survival"
names(size_table)[names(size_table) == "Focal_haplotype:Social_haplotype"] <- "Focal haplotype x Social haplotype"
names(size_table)[names(size_table) == "Social_haplotype:Social_survival"] <- "Social haplotype x Social survival"
names(size_table)[names(size_table) == "Focal_haplotype:Social_haplotype:Social_survival"] <- "Focal haplotype x Social haplotype x Social survival"
names(size_table)[names(size_table) == "df"] <- "Degrees of freedom"
names(size_table)[names(size_table) == "logLik"] <- "Log likelihood"
names(size_table)[names(size_table) == "AICc"] <- "AICc"
names(size_table)[names(size_table) == "delta"] <- "Delta"
names(size_table)[names(size_table) == "weight"] <- "Weight"
pander(size_table, split.cell = 40, split.table = Inf)
| Intercept | Duplicate | Focal haplotype | Sex | Social haplotype | Social survival | Focal haplotype x Social haplotype | Focal haplotype x Social survival | Social haplotype x Social survival | Focal haplotype x Social haplotype x Social survival | Degrees of freedom | Log likelihood | AICc | Delta | Weight | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 21 | 1.087 | NA | NA | + | NA | + | NA | NA | NA | NA | 6 | 447.3 | -882.4 | 0 | 0.5983 |
| 22 | 1.09 | + | NA | + | NA | + | NA | NA | NA | NA | 7 | 447.7 | -881.1 | 1.333 | 0.3073 |
| 23 | 1.087 | NA | + | + | NA | + | NA | NA | NA | NA | 10 | 448.5 | -876.5 | 5.887 | 0.03151 |
Table 3: Conditional model coefficients, standard error and 95% confidence limits are shown for the wing length averaged model. Bold rows indicate signficant effects.
# Model averaging
#summary(model.avg(body_size_dredge, subset = delta < 6))
Size_CIs <- confint(model.avg(body_size_dredge, subset = delta < 6)) %>% as.data.frame()
Size_estimate <- coefTable(model.avg(body_size_dredge, subset = delta < 6)) %>% as.data.frame()
Size_model_avg <- data.frame(Size_estimate, Size_CIs) %>% select(Estimate, Std..Error, X2.5.., X97.5..)
names(Size_model_avg)[names(Size_model_avg) == "Estimate"] <- "Conditional average estimate"
names(Size_model_avg)[names(Size_model_avg) == "Std..Error"] <- "Standard Error"
names(Size_model_avg)[names(Size_model_avg) == "X2.5.."] <- "2.5% Interval"
names(Size_model_avg)[names(Size_model_avg) == "X97.5.."] <- "97.5% Interval"
pander(Size_model_avg, split.cell = 40, split.table = Inf, emphasize.strong.rows = (2:4))
| Conditional average estimate | Standard Error | 2.5% Interval | 97.5% Interval | |
|---|---|---|---|---|
| (Intercept) | 1.088 | 0.02031 | 1.049 | 1.128 |
| SexM | -0.08519 | 0.007883 | -0.1006 | -0.06974 |
| Social_survivalN | -0.04614 | 0.01026 | -0.06625 | -0.02602 |
| Social_survivalP | -0.04021 | 0.01117 | -0.06211 | -0.01831 |
| factor(Duplicate)2 | -0.007988 | 0.009309 | -0.02623 | 0.01026 |
| Focal_haplotypeBrownsville | -0.002269 | 0.01251 | -0.02679 | 0.02225 |
| Focal_haplotypeDahomey | 0.006228 | 0.01203 | -0.01734 | 0.0298 |
| Focal_haplotypeIsrael | 0.008357 | 0.01249 | -0.01611 | 0.03283 |
| Focal_haplotypeSweden | -0.00919 | 0.01275 | -0.03417 | 0.01579 |
body_size_plot_data <- body_size %>%
mutate(Social_survival = replace(as.character(Social_survival), Social_survival == "L", "Died as larva"),
Social_survival = replace(as.character(Social_survival), Social_survival == "P", "Died as pupa"),
Social_survival = replace(as.character(Social_survival), Social_survival == "N", "Survived to adulthood"),
Sex = replace(as.character(Sex), Sex == "F", "Female"),
Sex = replace(as.character(Sex), Sex == "M", "Male"))
body_size_summary <- body_size_plot_data %>%
dplyr::group_by(Social_survival, Sex) %>%
dplyr::summarise(Mean_wing_length = mean(Wing_length), Lower = (Mean_wing_length - SE(Wing_length)* 1.96), Upper = (Mean_wing_length + SE(Wing_length)*1.96), n = n()) %>% rename(Wing_length = Mean_wing_length)
body_size_plot_data %>%
ggplot(aes(x = Social_survival, y = Wing_length, fill = Social_survival, colour = Social_survival)) +
geom_quasirandom(data = body_size_plot_data, width = 0.3, size = 2, alpha = 0.5) +
scale_colour_manual(values = c("Died as larva" = "#a50f15", "Died as pupa" = "#fe9929", "Survived to adulthood" = "#41b6c4")) +
geom_point(data = body_size_summary, aes(x = Social_survival, y = Wing_length), size = 3, colour='black') +
geom_errorbar(data = body_size_summary, aes(x = Social_survival, ymax = Upper, ymin = Lower, width = 0), colour = "black") +
facet_wrap(~ Sex) +
labs(x = "Survival outcome of social partner", y = "Wing length (mm)") +
theme_minimal() +
theme(legend.position = "none") +
theme(panel.grid.major.x = element_blank())
Figure 5: Wing length is affected by an individual’s sex and the success of a social competitor. The coloured points show the development time for individual flies. The black points show the mean wing length for males and females and its 95% confidence limits.
To effectively accommodate zero-inflation, we modelled female offspring production using the glmmTMB package (Brooks et al. 2017). This package allows us to fit hurdle models and zero-inflated models.
Hurdle models treat zero-count and nonzero outcomes as two completely separate categories, while zero-inflated models treat zero-count outcomes as a mixture of structural and sampling zeros.
We analysed the number of offspring produced by females using a hurdle model with negative binomial errors. This approach allowed us to answer two questions: (1) did mtDNA and/or competition affect the incidence of failing to produce any offspring? and (2) for females that produced at least one offspring, was the number of offspring produced affected by mtDNA/competition?
The model:
Maternal_total_offspring ~ Focal_haplotype * Social_haplotype + Social_haplotype * Social_survival + factor(Duplicate) + (1|Block)
female_hurdle_model <- glmmTMB(Maternal_total_offspring ~ Focal_haplotype * Social_haplotype + Social_haplotype * Social_survival + factor(Duplicate) + (1|Block), data = female_reproductive_output, family = list(family="truncated_nbinom1",link="log"), ziformula = ~., na.action = na.fail, REML = FALSE)
Table S4: Evaluation of the female reproductive output model. All possible models were evaluated from the global model that included a three-way interaction between focal haplotype, social haplotype and social survival, the standalone fixed effect ‘duplicate’, and the random factor ‘Block’. As there was no clear top model, the final model was calculated via model averaging. The zero-inflated results correspond to question (1), while the conditional results correspond to question (2) above.
# Compare all possible combinations of models (from the global model)
if(file.exists("female_dredge.rds")){ # If already done, just load the results
female_dredge <- readRDS("female_dredge.rds")
} else {female_dredge <- dredge(female_hurdle_model) # If not already done, run all the models and save the results
lapply(c("female_dredge"), save_it)
}
female_table <- subset(female_dredge, delta < 6, recalc.weights = FALSE) %>% as.data.frame()
names(female_table)[names(female_table) == "cond((Int))"] <- "Conditional intercept"
names(female_table)[names(female_table) == "zi((Int))"] <- "Zero-inflated intercept"
names(female_table)[names(female_table) == "disp((Int))"] <- "Dispersion factor intercept"
names(female_table)[names(female_table) == "cond(factor(duplicate))"] <- "Conditional (Duplicate)"
names(female_table)[names(female_table) == "cond(Focal_haplotype)"] <- "Conditional (Focal haplotype)"
names(female_table)[names(female_table) == "cond(Social_survival)"] <- "Conditional (Social survival)"
names(female_table)[names(female_table) == "cond(Social_haplotype)"] <- "Conditional (Social haplotype)"
names(female_table)[names(female_table) == "cond(Focal_haplotype:Social_haplotype)"] <- "Conditional (Focal haplotype x Social haplotype)"
names(female_table)[names(female_table) == "cond(Social_haplotype:Social_survival)"] <- "Conditional (Social haplotype x Social survival)"
names(female_table)[names(female_table) == "zi(factor(duplicate))"] <- "Zero-inflated (Duplicate)"
names(female_table)[names(female_table) == "zi(Focal_haplotype)"] <- "Zero-inflated (Focal haplotype)"
names(female_table)[names(female_table) == "zi(Social_survival)"] <- "Zero-inflated (Social survival)"
names(female_table)[names(female_table) == "zi(Social_haplotype)"] <- "Zero-inflated (Social haplotype)"
names(female_table)[names(female_table) == "zi(Focal_haplotype:Social_haplotype)"] <- "Zero-inflated (Focal haplotype x Social haplotype)"
names(female_table)[names(female_table) == "zi(Social_haplotype:Social_survival)"] <- "Zero-inflated (Social haplotype x Social survival)"
names(female_table)[names(female_table) == "df"] <- "Degrees of freedom"
names(female_table)[names(female_table) == "logLik"] <- "Log likelihood"
names(female_table)[names(female_table) == "AICc"] <- "AICc"
names(female_table)[names(female_table) == "delta"] <- "Delta"
names(female_table)[names(female_table) == "weight"] <- "Weight"
pander(female_table, split.cell = 40, split.table = Inf)
| Conditional intercept | Zero-inflated intercept | Dispersion factor intercept | Conditional (Duplicate) | Conditional (Focal haplotype) | Conditional (Social haplotype) | Conditional (Social survival) | Conditional (Focal haplotype x Social haplotype) | Conditional (Social haplotype x Social survival) | Zero-inflated (Duplicate) | Zero-inflated (Focal haplotype) | Zero-inflated (Social haplotype) | Zero-inflated (Social survival) | Zero-inflated (Focal haplotype x Social haplotype) | Zero-inflated (Social haplotype x Social survival) | Degrees of freedom | Log likelihood | AICc | Delta | Weight | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 331 | 4.065 | -1.398 | + | NA | + | NA | + | NA | NA | + | NA | + | NA | NA | NA | 16 | -1537 | 3107 | 0 | 0.1792 |
| 267 | 4.065 | -1.245 | + | NA | + | NA | + | NA | NA | NA | NA | + | NA | NA | NA | 15 | -1539 | 3108 | 1.2 | 0.09833 |
| 329 | 3.999 | -1.398 | + | NA | NA | NA | + | NA | NA | + | NA | + | NA | NA | NA | 12 | -1542 | 3109 | 1.474 | 0.08576 |
| 843 | 4.065 | -1.641 | + | NA | + | NA | + | NA | NA | + | NA | + | + | NA | NA | 18 | -1536 | 3109 | 1.933 | 0.06819 |
| 332 | 4.061 | -1.398 | + | + | + | NA | + | NA | NA | + | NA | + | NA | NA | NA | 17 | -1537 | 3109 | 2.144 | 0.06135 |
| 265 | 3.999 | -1.245 | + | NA | NA | NA | + | NA | NA | NA | NA | + | NA | NA | NA | 11 | -1544 | 3110 | 2.716 | 0.04608 |
| 75 | 4.065 | -0.9606 | + | NA | + | NA | + | NA | NA | + | NA | NA | NA | NA | NA | 12 | -1543 | 3110 | 2.878 | 0.0425 |
| 779 | 4.065 | -1.487 | + | NA | + | NA | + | NA | NA | NA | NA | + | + | NA | NA | 17 | -1537 | 3110 | 3.204 | 0.03611 |
| 330 | 3.987 | -1.398 | + | + | NA | NA | + | NA | NA | + | NA | + | NA | NA | NA | 13 | -1542 | 3110 | 3.292 | 0.03455 |
| 841 | 3.999 | -1.641 | + | NA | NA | NA | + | NA | NA | + | NA | + | + | NA | NA | 14 | -1541 | 3110 | 3.322 | 0.03404 |
| 268 | 4.061 | -1.245 | + | + | + | NA | + | NA | NA | NA | NA | + | NA | NA | NA | 16 | -1539 | 3110 | 3.334 | 0.03384 |
| 844 | 4.061 | -1.641 | + | + | + | NA | + | NA | NA | + | NA | + | + | NA | NA | 19 | -1536 | 3111 | 4.098 | 0.02309 |
| 73 | 3.999 | -0.9606 | + | NA | NA | NA | + | NA | NA | + | NA | NA | NA | NA | NA | 8 | -1548 | 3112 | 4.518 | 0.01872 |
| 266 | 3.987 | -1.245 | + | + | NA | NA | + | NA | NA | NA | NA | + | NA | NA | NA | 12 | -1543 | 3112 | 4.524 | 0.01866 |
| 777 | 3.999 | -1.487 | + | NA | NA | NA | + | NA | NA | NA | NA | + | + | NA | NA | 13 | -1542 | 3112 | 4.636 | 0.01765 |
| 76 | 4.061 | -0.9606 | + | + | + | NA | + | NA | NA | + | NA | NA | NA | NA | NA | 13 | -1543 | 3112 | 4.98 | 0.01486 |
| 842 | 3.987 | -1.641 | + | + | NA | NA | + | NA | NA | + | NA | + | + | NA | NA | 15 | -1541 | 3112 | 5.161 | 0.01357 |
| 780 | 4.061 | -1.487 | + | + | + | NA | + | NA | NA | NA | NA | + | + | NA | NA | 18 | -1537 | 3113 | 5.359 | 0.0123 |
| 459 | 4.065 | -1.31 | + | NA | + | NA | + | NA | NA | + | + | + | NA | NA | NA | 20 | -1535 | 3113 | 5.391 | 0.0121 |
| 11 | 4.065 | -0.783 | + | NA | + | NA | + | NA | NA | NA | NA | NA | NA | NA | NA | 11 | -1545 | 3113 | 5.456 | 0.01171 |
| 587 | 4.065 | -1.14 | + | NA | + | NA | + | NA | NA | + | NA | NA | + | NA | NA | 14 | -1542 | 3113 | 5.784 | 0.009938 |
| 395 | 4.065 | -1.156 | + | NA | + | NA | + | NA | NA | NA | + | + | NA | NA | NA | 19 | -1537 | 3113 | 5.996 | 0.00894 |
Table 4: Conditional (after hurdle) and zi (zero-hurdle requirement) model coefficients, standard error and 95% confidence limits are shown for the female offspring production averaged model. Bold rows indicate signficant effects.
#summary(model.avg(female_dredge, subset = delta < 6))
Female_CIs <- confint(model.avg(female_dredge, subset = delta < 6)) %>% as.data.frame()
Female_estimate <- coefTable(model.avg(female_dredge, subset = delta < 6)) %>% as.data.frame()
Female_model_avg <- data.frame(Female_estimate, Female_CIs) %>% select(Estimate, Std..Error, X2.5.., X97.5..)
names(Female_model_avg)[names(Female_model_avg) == "Estimate"] <- "Conditional average estimate"
names(Female_model_avg)[names(Female_model_avg) == "Std..Error"] <- "Standard Error"
names(Female_model_avg)[names(Female_model_avg) == "X2.5.."] <- "2.5% Interval"
names(Female_model_avg)[names(Female_model_avg) == "X97.5.."] <- "97.5% Interval"
pander(Female_model_avg, split.cell = 40, split.table = Inf, emphasize.strong.rows = c(5:7, 12))
| Conditional average estimate | Standard Error | 2.5% Interval | 97.5% Interval | |
|---|---|---|---|---|
| cond((Int)) | 4.043 | 0.08577 | 3.875 | 4.211 |
| cond(Focal_haplotypeBrownsville) | -0.1392 | 0.07869 | -0.2934 | 0.01508 |
| cond(Focal_haplotypeDahomey) | -0.0619 | 0.07448 | -0.2079 | 0.08408 |
| cond(Focal_haplotypeIsrael) | 0.01165 | 0.07877 | -0.1427 | 0.166 |
| cond(Focal_haplotypeSweden) | -0.2032 | 0.0811 | -0.3622 | -0.04424 |
| cond(Social_survivalN) | -0.239 | 0.06266 | -0.3618 | -0.1162 |
| cond(Social_survivalP) | -0.2427 | 0.07728 | -0.3942 | -0.09124 |
| zi((Int)) | -1.356 | 0.3366 | -2.016 | -0.6965 |
| zi(factor(duplicate)2) | 0.4145 | 0.2212 | -0.01899 | 0.8481 |
| zi(Social_haplotypeBrownsville) | 0.5444 | 0.3598 | -0.1608 | 1.249 |
| zi(Social_haplotypeDahomey) | 0.1914 | 0.3545 | -0.5034 | 0.8862 |
| zi(Social_haplotypeIsrael) | 1.039 | 0.3373 | 0.3783 | 1.7 |
| zi(Social_haplotypeSweden) | 0.3964 | 0.3629 | -0.3149 | 1.108 |
| zi(Social_survivalN) | 0.3757 | 0.2577 | -0.1294 | 0.8807 |
| zi(Social_survivalP) | 0.1447 | 0.3312 | -0.5044 | 0.7938 |
| cond(factor(duplicate)2) | 0.01601 | 0.05657 | -0.09486 | 0.1269 |
| zi(Focal_haplotypeBrownsville) | 0.01499 | 0.3265 | -0.625 | 0.655 |
| zi(Focal_haplotypeDahomey) | -0.2686 | 0.3341 | -0.9233 | 0.3862 |
| zi(Focal_haplotypeIsrael) | 0.2045 | 0.328 | -0.4383 | 0.8474 |
| zi(Focal_haplotypeSweden) | -0.3776 | 0.3652 | -1.094 | 0.3382 |
female_zi_plot_data <- female_reproductive_output %>%
mutate(Binary_maternal_offspring = ifelse(Maternal_total_offspring > 0, "1", "0"))
female_zi_summary <- female_zi_plot_data %>%
dplyr::group_by(Social_haplotype) %>%
dplyr::summarise(number_producing_offspring = sum(Binary_maternal_offspring == 1), number_zero_offspring = sum(Binary_maternal_offspring == 0)) %>%
as.data.frame()
female_zi_CIs <- get_CIs_for_binomial_trials(female_zi_summary$number_producing_offspring, female_zi_summary$number_zero_offspring) %>% rename(Binary_maternal_offspring = Proportion)
female_zi_summary <- cbind(female_zi_summary, female_zi_CIs)
female_zi_plot_data %>%
ggplot(aes(x = Social_haplotype, y = Binary_maternal_offspring, fill = Social_haplotype, colour = Social_haplotype)) +
geom_point(data = female_zi_summary, aes(x = Social_haplotype, y = Binary_maternal_offspring), size = 3, colour='black') +
geom_errorbar(data = female_zi_summary, aes(x = Social_haplotype, ymax = upperCI, ymin = lowerCI, width = 0), colour = "black") +
labs(x = "Social male mtDNA haplotype", y = "Proportion of females producing offspring") +
theme_minimal() +
theme(legend.position = "none") +
theme(panel.grid.major.x = element_blank())
Figure 6: The proportion of females successfully producing offspring is affected by the mtDNA of a social male competitor during larval development. Black points show the mean for each social haplotype and associated confidence intervals. Data corresponds to the hurdle (binomial) component of the hurdle model.
female_cond_plot_data <- female_reproductive_output %>%
mutate(Social_survival = replace(as.character(Social_survival), Social_survival == "L", "Died as larva"),
Social_survival = replace(as.character(Social_survival), Social_survival == "P", "Died as pupa"),
Social_survival = replace(as.character(Social_survival), Social_survival == "N", "Survived to adulthood")) %>%
filter(Maternal_total_offspring != 0)
female_cond_summary <- female_cond_plot_data %>%
dplyr::group_by(Focal_haplotype) %>%
dplyr::summarise(Mean_offspring = mean(Maternal_total_offspring), Lower = (Mean_offspring - SE(Maternal_total_offspring)* 1.96), Upper = (Mean_offspring + SE(Maternal_total_offspring)*1.96), n = n()) %>% rename(Maternal_total_offspring = Mean_offspring)
female_cond_plot_data %>%
ggplot(aes(x = Focal_haplotype, y = Maternal_total_offspring, fill = Focal_haplotype, colour = Focal_haplotype)) +
geom_quasirandom(data = female_cond_plot_data, width = 0.3, size = 2, alpha = 0.5) +
scale_colour_manual(values = c("Barcelona" = "#a50f15", "Brownsville" = "#fe9929", "Dahomey" = "#41b6c4", "Israel" = "#238443" , "Sweden" = "#4a1486")) +
geom_point(data = female_cond_summary, aes(x = Focal_haplotype, y = Maternal_total_offspring), size = 3, colour='black') +
geom_errorbar(data = female_cond_summary, aes(x = Focal_haplotype, ymax = Upper, ymin = Lower, width = 0), colour = "black") +
labs(x = "Female mtDNA haplotype", y = "Number of offspring produced") +
theme_minimal() +
theme(legend.position = "none") +
theme(panel.grid.major.x = element_blank())
Figure 7: Number of offspring produced by females that produced at least one offspring, split by mitochondrial haplotype. Data corresponds to the conditional component of the hurdle model. Coloured points show the number of offspring produced by individual females. The black points show the mean reproductive output for females and its 95% confidence limits.
We follow the classic approach to sperm competition analysis and consider male fitness as the proportion of offspring sired by the mitoline male while competing against a standard bw male.
Here we are measuring male fitness as 1) the ability of a male to inseminate a female in the presence of another male and 2) the competitive ability of his sperm within females that have been inseminated by another male. Zero-count outcomes can therefore arise due to either structural and sampling zeros (or at least processes that are likely to follow different distributions). We use a zero-inflated binomial model.
The Brownsville haplotype renders males sterile alongside the w1118 nuclear background and sub-fertile alongside all other tested backgrounds. In our experiment, we find that Brownsville males are able to produce offspring but to a very limited capacity. Due to this, our model will not converge with the Brownsville males in the dataset. Therefore, we acknowledge that there is an effect of the Brownsville focal haplotype on male fitness and then remove it from the dataset.
We fit a zero-inflated binomial model:
(focal_male_offspring, Offspring_counted) ~ Focal_haplotype * Social_haplotype + Social_haplotype * Social_survival + Duplicate + (1|Individual) + (1|Block)
We fit ‘Individual’ as a random effect to ensure that the proportion of offspring is calculated for each mitoline male, rather than as an overall proportion for each group of males.
Table S5: Anova results from zero-inflated binomial model for male adult fitness.
Male_fitness_without_Brownsville <- Male_fitness %>% filter(Focal_haplotype != "Brownsville") %>% mutate(Individual = 1:n())
# Male_fitness_without_Brownsville$test <- sample(c(0,1), nrow(Male_fitness_without_Brownsville), replace = T)
male_zi_model <- glmmTMB(cbind(Focal_male_offspring, Bw_offspring) ~ Focal_haplotype * Social_haplotype + Social_haplotype * Social_survival + factor(Duplicate) + (1|Block) + (1|Individual), data = Male_fitness_without_Brownsville, family = binomial, ziformula = ~., na.action = na.fail, REML = FALSE, control = glmmTMBControl(optCtrl = list(iter.max = 1000, eval.max = 1000), profile = TRUE, collect = FALSE))
dredge(male_zi_model)
# This returns the following error message:
# Error in as.symbol(opt$response) : 'pairlist' object cannot be coerced to type 'symbol'
if(file.exists("male_dredge.rds")){ # If already done, just load the results
male_dredge <- readRDS("male_dredge.rds")
} else {male_dredge <- dredge(male_zi_model) # If not already done, run the dredge and save the results
lapply(c("male_dredge"), save_it)
}
Male_table <- subset(male_dredge, delta < 6, recalc.weights = FALSE) %>% as.data.frame()
Table 5: Conditional (after hurdle) and zi (zero-hurdle requirement) model coefficients, standard error and 95% confidence limits are shown for the male adult fitness averaged model. Bold rows indicate signficant effects.
#summary(model.avg(male_dredge, subset = delta < 6))
Male_CIs <- confint(model.avg(male_dredge, subset = delta < 6)) %>% as.data.frame()
Male_estimate <- coefTable(model.avg(male_dredge, subset = delta < 6)) %>% as.data.frame()
Male_model_avg <- data.frame(Male_estimate, Male_CIs) %>% select(Estimate, Std..Error, X2.5.., X97.5..)
names(Male_model_avg)[names(Male_model_avg) == "Estimate"] <- "Conditional average estimate"
names(Male_model_avg)[names(Male_model_avg) == "Std..Error"] <- "Standard Error"
names(Male_model_avg)[names(Male_model_avg) == "X2.5.."] <- "2.5% Interval"
names(Male_model_avg)[names(Male_model_avg) == "X97.5.."] <- "97.5% Interval"
pander(Male_model_avg, split.cell = 40, split.table = Inf, emphasize.strong.rows = c(5:7, 12))
male_plot_data <- Male_fitness %>%
mutate(Social_survival = replace(as.character(Social_survival), Social_survival == "L", "Died as larva"),
Social_survival = replace(as.character(Social_survival), Social_survival == "P", "Died as pupa"),
Social_survival = replace(as.character(Social_survival), Social_survival == "N", "Survived to adulthood"))
Male_fitness_summary_socialmt <- male_plot_data %>%
group_by(Social_haplotype) %>%
dplyr::summarise(Mean_proportion_focal = sum(Proportion_focal) / length(Proportion_focal), Lower = (Mean_proportion_focal - SE(Proportion_focal)* 1.96), Upper = (Mean_proportion_focal + SE(Proportion_focal)*1.96), n = n()) %>% rename(Proportion_focal = Mean_proportion_focal)
Male_fitness_summary_focalmt <- male_plot_data %>%
group_by(Focal_haplotype) %>%
dplyr::summarise(Mean_proportion_focal = sum(Proportion_focal) / length(Proportion_focal), Lower = (Mean_proportion_focal - SE(Proportion_focal)* 1.96), Upper = (Mean_proportion_focal + SE(Proportion_focal)*1.96), n = n()) %>% rename(Proportion_focal = Mean_proportion_focal)
Male_focal_plot <- male_plot_data %>%
ggplot(aes(x = Focal_haplotype, y = Proportion_focal, fill = Focal_haplotype, colour = Focal_haplotype)) +
geom_quasirandom(data = male_plot_data, width = 0.3, alpha = 0.5, aes(size = Offspring_counted)) +
scale_size_continuous(range = c(0.5, 6), labels = NULL, breaks = c(20, 40, 60, 80, 100, 120)) +
scale_colour_manual(values = c("Barcelona" = "#a50f15", "Brownsville" = "#fe9929", "Dahomey" = "#41b6c4", "Israel" = "#238443" , "Sweden" = "#4a1486")) +
geom_point(data = Male_fitness_summary_focalmt, aes(x = Focal_haplotype, y = Proportion_focal), size = 3, colour='black') +
geom_errorbar(data = Male_fitness_summary_focalmt, aes(x = Focal_haplotype, ymax = Upper, ymin = Lower, width = 0), colour = "black") +
labs(x = "Focal mtDNA haplotype", y = "Proportion of offspring sired by focal male") +
theme_minimal() +
theme(legend.position = "none") +
theme(panel.grid.major.x = element_blank())
Male_social_plot <- male_plot_data %>%
ggplot(aes(x = Social_haplotype, y = Proportion_focal, fill = Social_haplotype, colour = Social_haplotype)) +
geom_quasirandom(data = male_plot_data, width = 0.3, alpha = 0.5, aes(size = Offspring_counted)) +
scale_size_continuous(range = c(0.5, 6), labels = NULL, breaks = c(20, 40, 60, 80, 100, 120)) +
scale_colour_manual(values = c("Barcelona" = "#a50f15", "Brownsville" = "#fe9929", "Dahomey" = "#41b6c4", "Israel" = "#238443" , "Sweden" = "#4a1486")) +
geom_point(data = Male_fitness_summary_socialmt, aes(x = Social_haplotype, y = Proportion_focal), size = 3, colour='black') +
geom_errorbar(data = Male_fitness_summary_socialmt, aes(x = Social_haplotype, ymax = Upper, ymin = Lower, width = 0), colour = "black") +
labs(x = "Social mtDNA haplotype", y = "Proportion of offspring sired by focal male") +
theme_minimal() +
theme(legend.position = "none") +
theme(panel.grid.major.x = element_blank())
ggarrange(Male_focal_plot, Male_social_plot)
Figure 8: The proportion of offspring produced by focal males competing with standard bw males, split by a) the males mtDNA haplotype and b) the mtDNA haplotype of a social competitor during development. Coloured points represent individual males, with larger points indicating a high number of offspring produced in the vial (sired by either male). Black points show the mean proportion of offspring sired by the focal male, with asssociated 95% confidence intervals. Means are not adjusted for zero inflation.
For completeness, transparency and for purposes of data archiving, we include the raw data in this report.
Table S6: the raw dataset used in the present study.
kable(fitness_data %>% filter(!is.na(Survived)), "html") %>%
kable_styling() %>%
scroll_box(width = "100%", height = "800px")
| Individual | Block | Duplicate | Replicate | Sex | Focal_haplotype | Social_haplotype | Survived | Social_survival | Dev_time | Day | Hours | Wing_length | Maternal_female_offspring | Maternal_male_offspring | Maternal_total_offspring | Paternal_focal_offspring | Patneral_bw_offspring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 1 | 1 | F | Barcelona | Barcelona | 1 | L | NA | NA | NA | NA | 35 | 24 | 59 | NA | NA |
| 2 | 1 | 1 | 1 | M | Barcelona | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 3 | 1 | 1 | 1 | F | Brownsville | Barcelona | 1 | N | 249 | 10 | 11 | NA | 36 | 45 | 81 | NA | NA |
| 4 | 1 | 1 | 1 | M | Barcelona | Brownsville | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 41 |
| 5 | 1 | 1 | 1 | F | Dahomey | Barcelona | 1 | N | 249 | 10 | 11 | NA | 17 | 23 | 40 | NA | NA |
| 6 | 1 | 1 | 1 | M | Barcelona | Dahomey | 1 | N | 242 | 10 | 4 | NA | NA | NA | NA | 42 | 0 |
| 7 | 1 | 1 | 1 | F | Israel | Barcelona | 1 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 8 | 1 | 1 | 1 | M | Barcelona | Israel | 1 | N | 242 | 10 | 4 | NA | NA | NA | NA | 32 | 26 |
| 9 | 1 | 1 | 1 | F | Sweden | Barcelona | 1 | N | NA | NA | NA | NA | 7 | 15 | 22 | NA | NA |
| 10 | 1 | 1 | 1 | M | Barcelona | Sweden | 1 | N | 267 | 11 | 5 | NA | NA | NA | NA | 0 | 0 |
| 11 | 1 | 1 | 1 | F | Barcelona | Brownsville | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 12 | 1 | 1 | 1 | M | Brownsville | Barcelona | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 15 | 1 | 1 | 1 | F | Dahomey | Brownsville | 1 | N | 242 | 10 | 4 | NA | 23 | 31 | 54 | NA | NA |
| 16 | 1 | 1 | 1 | M | Brownsville | Dahomey | 1 | N | 245 | 10 | 7 | NA | NA | NA | NA | 0 | 63 |
| 17 | 1 | 1 | 1 | F | Israel | Brownsville | 1 | N | 243 | 10 | 5 | NA | NA | NA | NA | NA | NA |
| 18 | 1 | 1 | 1 | M | Brownsville | Israel | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 19 | 1 | 1 | 1 | F | Sweden | Brownsville | 1 | L | 266 | 11 | 4 | NA | 26 | 39 | 65 | NA | NA |
| 20 | 1 | 1 | 1 | M | Brownsville | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 21 | 1 | 1 | 1 | F | Barcelona | Dahomey | 1 | N | NA | NA | NA | NA | 8 | 21 | 29 | NA | NA |
| 22 | 1 | 1 | 1 | M | Dahomey | Barcelona | 1 | N | 267 | 11 | 5 | NA | NA | NA | NA | 11 | 26 |
| 23 | 1 | 1 | 1 | F | Brownsville | Dahomey | 1 | N | 242 | 10 | 4 | NA | 11 | 22 | 33 | NA | NA |
| 24 | 1 | 1 | 1 | M | Dahomey | Brownsville | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 13 |
| 25 | 1 | 1 | 1 | F | Dahomey | Dahomey | 1 | N | 265 | 11 | 3 | NA | NA | NA | NA | NA | NA |
| 26 | 1 | 1 | 1 | M | Dahomey | Dahomey | 1 | N | NA | NA | NA | NA | NA | NA | NA | 128 | 0 |
| 27 | 1 | 1 | 1 | F | Israel | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 28 | 1 | 1 | 1 | M | Dahomey | Israel | 1 | L | 248 | 10 | 10 | NA | NA | NA | NA | 163 | 0 |
| 29 | 1 | 1 | 1 | F | Sweden | Dahomey | 1 | N | 245 | 10 | 7 | NA | 16 | 27 | 43 | NA | NA |
| 30 | 1 | 1 | 1 | M | Dahomey | Sweden | 1 | N | 248 | 10 | 10 | NA | NA | NA | NA | 105 | 0 |
| 31 | 1 | 1 | 1 | F | Barcelona | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 32 | 1 | 1 | 1 | M | Israel | Barcelona | 1 | L | 249 | 10 | 11 | NA | NA | NA | NA | 25 | 25 |
| 38 | 1 | 1 | 1 | M | Israel | Israel | 1 | NA | 243 | 10 | 5 | NA | NA | NA | NA | 0 | 58 |
| 41 | 1 | 1 | 1 | F | Barcelona | Sweden | 1 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 42 | 1 | 1 | 1 | M | Sweden | Barcelona | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 43 | 1 | 1 | 1 | F | Brownsville | Sweden | 1 | N | 270 | 11 | 8 | NA | 31 | 22 | 53 | NA | NA |
| 44 | 1 | 1 | 1 | M | Sweden | Brownsville | 1 | N | 267 | 11 | 5 | NA | NA | NA | NA | 0 | 0 |
| 45 | 1 | 1 | 1 | F | Dahomey | Sweden | 1 | N | NA | NA | NA | NA | 23 | 32 | 55 | NA | NA |
| 46 | 1 | 1 | 1 | M | Sweden | Dahomey | 1 | N | 242 | 10 | 4 | NA | NA | NA | NA | 0 | 52 |
| 47 | 1 | 1 | 1 | F | Israel | Sweden | 1 | N | NA | NA | NA | NA | 18 | 22 | 40 | NA | NA |
| 48 | 1 | 1 | 1 | M | Sweden | Israel | 1 | N | NA | NA | NA | NA | NA | NA | NA | 91 | 14 |
| 49 | 1 | 1 | 1 | F | Sweden | Sweden | 1 | N | 273 | 11 | 11 | NA | 18 | 19 | 37 | NA | NA |
| 50 | 1 | 1 | 1 | M | Sweden | Sweden | 1 | N | NA | NA | NA | NA | NA | NA | NA | 68 | 4 |
| 51 | 1 | 1 | 2 | F | Barcelona | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 52 | 1 | 1 | 2 | M | Barcelona | Barcelona | 1 | L | 245 | 10 | 7 | NA | NA | NA | NA | 138 | 0 |
| 53 | 1 | 1 | 2 | F | Brownsville | Barcelona | 1 | N | 269 | 11 | 7 | NA | 9 | 17 | 26 | NA | NA |
| 54 | 1 | 1 | 2 | M | Barcelona | Brownsville | 1 | N | 269 | 11 | 7 | NA | NA | NA | NA | 74 | 0 |
| 55 | 1 | 1 | 2 | F | Dahomey | Barcelona | 1 | N | 267 | 11 | 5 | NA | 25 | 19 | 44 | NA | NA |
| 56 | 1 | 1 | 2 | M | Barcelona | Dahomey | 1 | N | 283 | 11 | 21 | NA | NA | NA | NA | 0 | 25 |
| 57 | 1 | 1 | 2 | F | Israel | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 58 | 1 | 1 | 2 | M | Barcelona | Israel | 1 | P | 288 | 12 | 2 | NA | NA | NA | NA | 0 | 0 |
| 59 | 1 | 1 | 2 | F | Sweden | Barcelona | 1 | N | 283 | 11 | 21 | NA | 28 | 19 | 47 | NA | NA |
| 60 | 1 | 1 | 2 | M | Barcelona | Sweden | 1 | N | 283 | 11 | 21 | NA | NA | NA | NA | 70 | 46 |
| 61 | 1 | 1 | 2 | F | Barcelona | Brownsville | 1 | N | 269 | 11 | 7 | NA | 0 | 0 | 0 | NA | NA |
| 62 | 1 | 1 | 2 | M | Brownsville | Barcelona | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 32 |
| 63 | 1 | 1 | 2 | F | Brownsville | Brownsville | 1 | N | NA | NA | NA | NA | 27 | 22 | 49 | NA | NA |
| 64 | 1 | 1 | 2 | M | Brownsville | Brownsville | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 65 | 1 | 1 | 2 | F | Dahomey | Brownsville | 1 | P | 270 | 11 | 8 | NA | 13 | 16 | 29 | NA | NA |
| 66 | 1 | 1 | 2 | M | Brownsville | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 67 | 1 | 1 | 2 | F | Israel | Brownsville | 1 | N | 273 | 11 | 11 | NA | 0 | 0 | 0 | NA | NA |
| 68 | 1 | 1 | 2 | M | Brownsville | Israel | 1 | N | 270 | 11 | 8 | NA | NA | NA | NA | 0 | 52 |
| 69 | 1 | 1 | 2 | F | Sweden | Brownsville | 1 | N | 269 | 11 | 7 | NA | 9 | 10 | 19 | NA | NA |
| 70 | 1 | 1 | 2 | M | Brownsville | Sweden | 1 | N | 271 | 11 | 9 | NA | NA | NA | NA | 0 | 21 |
| 71 | 1 | 1 | 2 | F | Barcelona | Dahomey | 1 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 72 | 1 | 1 | 2 | M | Dahomey | Barcelona | 1 | N | 269 | 11 | 7 | NA | NA | NA | NA | 0 | 0 |
| 73 | 1 | 1 | 2 | F | Brownsville | Dahomey | 1 | N | 243 | 10 | 5 | NA | 18 | 29 | 47 | NA | NA |
| 74 | 1 | 1 | 2 | M | Dahomey | Brownsville | 1 | N | 248 | 10 | 10 | NA | NA | NA | NA | 0 | 49 |
| 75 | 1 | 1 | 2 | F | Dahomey | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 76 | 1 | 1 | 2 | M | Dahomey | Dahomey | 1 | P | 251 | 10 | 13 | NA | NA | NA | NA | 0 | 0 |
| 77 | 1 | 1 | 2 | F | Israel | Dahomey | 1 | N | NA | NA | NA | NA | 35 | 20 | 55 | NA | NA |
| 78 | 1 | 1 | 2 | M | Dahomey | Israel | 1 | N | 248 | 10 | 10 | NA | NA | NA | NA | 81 | 8 |
| 79 | 1 | 1 | 2 | F | Sweden | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 80 | 1 | 1 | 2 | M | Dahomey | Sweden | 1 | L | 274 | 11 | 12 | NA | NA | NA | NA | 1 | 23 |
| 81 | 1 | 1 | 2 | F | Barcelona | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 82 | 1 | 1 | 2 | M | Israel | Barcelona | 1 | P | 269 | 11 | 7 | NA | NA | NA | NA | 0 | 55 |
| 85 | 1 | 1 | 2 | F | Dahomey | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 86 | 1 | 1 | 2 | M | Israel | Dahomey | 1 | P | 267 | 11 | 5 | NA | NA | NA | NA | 200 | 0 |
| 87 | 1 | 1 | 2 | F | Israel | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 88 | 1 | 1 | 2 | M | Israel | Israel | 1 | L | 248 | 10 | 10 | NA | NA | NA | NA | 0 | 0 |
| 89 | 1 | 1 | 2 | F | Sweden | Israel | 1 | N | 288 | 12 | 2 | NA | 0 | 0 | 0 | NA | NA |
| 90 | 1 | 1 | 2 | M | Israel | Sweden | 1 | N | 270 | 11 | 8 | NA | NA | NA | NA | 22 | 49 |
| 91 | 1 | 1 | 2 | F | Barcelona | Sweden | 1 | N | NA | NA | NA | NA | 19 | 34 | 53 | NA | NA |
| 92 | 1 | 1 | 2 | M | Sweden | Barcelona | 1 | N | NA | NA | NA | NA | NA | NA | NA | 75 | 0 |
| 93 | 1 | 1 | 2 | F | Brownsville | Sweden | 1 | N | 267 | 11 | 5 | NA | 0 | 0 | 0 | NA | NA |
| 94 | 1 | 1 | 2 | M | Sweden | Brownsville | 1 | N | NA | NA | NA | NA | NA | NA | NA | 104 | 2 |
| 95 | 1 | 1 | 2 | F | Dahomey | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 96 | 1 | 1 | 2 | M | Sweden | Dahomey | 1 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 99 | 1 | 1 | 2 | F | Sweden | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 100 | 1 | 1 | 2 | M | Sweden | Sweden | 1 | L | NA | NA | NA | NA | NA | NA | NA | 47 | 0 |
| 101 | 1 | 1 | 3 | F | Barcelona | Barcelona | 1 | N | 249 | 10 | 11 | NA | 23 | 27 | 50 | NA | NA |
| 102 | 1 | 1 | 3 | M | Barcelona | Barcelona | 1 | N | 249 | 10 | 11 | NA | NA | NA | NA | 0 | 0 |
| 103 | 1 | 1 | 3 | F | Brownsville | Barcelona | 1 | N | 269 | 11 | 7 | NA | 0 | 0 | 0 | NA | NA |
| 104 | 1 | 1 | 3 | M | Barcelona | Brownsville | 1 | N | NA | NA | NA | NA | NA | NA | NA | 141 | 15 |
| 105 | 1 | 1 | 3 | F | Dahomey | Barcelona | 1 | N | 246 | 10 | 8 | NA | 22 | 21 | 43 | NA | NA |
| 106 | 1 | 1 | 3 | M | Barcelona | Dahomey | 1 | N | NA | NA | NA | NA | NA | NA | NA | 3 | 27 |
| 107 | 1 | 1 | 3 | F | Israel | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 108 | 1 | 1 | 3 | M | Barcelona | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 109 | 1 | 1 | 3 | F | Sweden | Barcelona | 1 | N | NA | NA | NA | NA | 8 | 8 | 16 | NA | NA |
| 110 | 1 | 1 | 3 | M | Barcelona | Sweden | 1 | N | NA | NA | NA | NA | NA | NA | NA | 11 | 10 |
| 111 | 1 | 1 | 3 | F | Barcelona | Brownsville | 1 | L | NA | NA | NA | NA | 20 | 19 | 39 | NA | NA |
| 112 | 1 | 1 | 3 | M | Brownsville | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 113 | 1 | 1 | 3 | F | Brownsville | Brownsville | 1 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 114 | 1 | 1 | 3 | M | Brownsville | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 117 | 1 | 1 | 3 | F | Israel | Brownsville | 1 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 118 | 1 | 1 | 3 | M | Brownsville | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 119 | 1 | 1 | 3 | F | Sweden | Brownsville | 1 | L | NA | NA | NA | NA | 51 | 50 | 101 | NA | NA |
| 120 | 1 | 1 | 3 | M | Brownsville | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 121 | 1 | 1 | 3 | F | Barcelona | Dahomey | 1 | N | 248 | 10 | 10 | NA | 22 | 18 | 40 | NA | NA |
| 122 | 1 | 1 | 3 | M | Dahomey | Barcelona | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 11 |
| 123 | 1 | 1 | 3 | F | Brownsville | Dahomey | 1 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 124 | 1 | 1 | 3 | M | Dahomey | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 125 | 1 | 1 | 3 | F | Dahomey | Dahomey | 1 | N | NA | NA | NA | NA | 23 | 22 | 45 | NA | NA |
| 126 | 1 | 1 | 3 | M | Dahomey | Dahomey | 1 | N | 274 | 11 | 12 | NA | NA | NA | NA | 0 | 0 |
| 127 | 1 | 1 | 3 | F | Israel | Dahomey | 1 | N | 274 | 11 | 12 | NA | 0 | 0 | 0 | NA | NA |
| 128 | 1 | 1 | 3 | M | Dahomey | Israel | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 48 |
| 130 | 1 | 1 | 3 | M | Dahomey | Sweden | 1 | NA | NA | NA | NA | NA | NA | NA | NA | 0 | 95 |
| 133 | 1 | 1 | 3 | F | Brownsville | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 134 | 1 | 1 | 3 | M | Israel | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 135 | 1 | 1 | 3 | F | Dahomey | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 136 | 1 | 1 | 3 | M | Israel | Dahomey | 1 | L | NA | NA | NA | NA | NA | NA | NA | 94 | 0 |
| 137 | 1 | 1 | 3 | F | Israel | Israel | 1 | P | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 138 | 1 | 1 | 3 | M | Israel | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 141 | 1 | 1 | 3 | F | Barcelona | Sweden | 1 | N | 287 | 12 | 1 | NA | 0 | 0 | 0 | NA | NA |
| 142 | 1 | 1 | 3 | M | Sweden | Barcelona | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 143 | 1 | 1 | 3 | F | Brownsville | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 144 | 1 | 1 | 3 | M | Sweden | Brownsville | 1 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 147 | 1 | 1 | 3 | F | Israel | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 148 | 1 | 1 | 3 | M | Sweden | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 149 | 1 | 1 | 3 | F | Sweden | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 150 | 1 | 1 | 3 | M | Sweden | Sweden | 1 | P | NA | NA | NA | NA | NA | NA | NA | 93 | 17 |
| 151 | 1 | 2 | 4 | F | Barcelona | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 152 | 1 | 2 | 4 | M | Barcelona | Barcelona | 1 | P | 267 | 11 | 5 | NA | NA | NA | NA | NA | NA |
| 153 | 1 | 2 | 4 | F | Brownsville | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 154 | 1 | 2 | 4 | M | Barcelona | Brownsville | 1 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 117 |
| 155 | 1 | 2 | 4 | F | Dahomey | Barcelona | 1 | P | 243 | 10 | 5 | NA | 0 | 0 | 0 | NA | NA |
| 156 | 1 | 2 | 4 | M | Barcelona | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 157 | 1 | 2 | 4 | F | Israel | Barcelona | 1 | N | 269 | 11 | 7 | NA | 5 | 8 | 13 | NA | NA |
| 158 | 1 | 2 | 4 | M | Barcelona | Israel | 1 | N | 269 | 11 | 7 | NA | NA | NA | NA | 0 | 2 |
| 159 | 1 | 2 | 4 | F | Sweden | Barcelona | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 160 | 1 | 2 | 4 | M | Barcelona | Sweden | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 161 | 1 | 2 | 4 | F | Barcelona | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 162 | 1 | 2 | 4 | M | Brownsville | Barcelona | 1 | P | 248 | 10 | 10 | NA | NA | NA | NA | 0 | 0 |
| 163 | 1 | 2 | 4 | F | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 164 | 1 | 2 | 4 | M | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 165 | 1 | 2 | 4 | F | Dahomey | Brownsville | 1 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 166 | 1 | 2 | 4 | M | Brownsville | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 167 | 1 | 2 | 4 | F | Israel | Brownsville | 1 | N | 248 | 10 | 10 | NA | 33 | 46 | 79 | NA | NA |
| 168 | 1 | 2 | 4 | M | Brownsville | Israel | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 169 | 1 | 2 | 4 | F | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 170 | 1 | 2 | 4 | M | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 171 | 1 | 2 | 4 | F | Barcelona | Dahomey | 1 | N | 248 | 10 | 10 | NA | 28 | 35 | 63 | NA | NA |
| 172 | 1 | 2 | 4 | M | Dahomey | Barcelona | 1 | N | 248 | 10 | 10 | NA | NA | NA | NA | 0 | 0 |
| 173 | 1 | 2 | 4 | F | Brownsville | Dahomey | 1 | N | NA | NA | NA | NA | 18 | 19 | 37 | NA | NA |
| 174 | 1 | 2 | 4 | M | Dahomey | Brownsville | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 43 |
| 175 | 1 | 2 | 4 | F | Dahomey | Dahomey | 1 | L | NA | NA | NA | NA | 21 | 21 | 42 | NA | NA |
| 176 | 1 | 2 | 4 | M | Dahomey | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 177 | 1 | 2 | 4 | F | Israel | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 178 | 1 | 2 | 4 | M | Dahomey | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 179 | 1 | 2 | 4 | F | Sweden | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 180 | 1 | 2 | 4 | M | Dahomey | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 181 | 1 | 2 | 4 | F | Barcelona | Israel | 1 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 182 | 1 | 2 | 4 | M | Israel | Barcelona | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 28 |
| 183 | 1 | 2 | 4 | F | Brownsville | Israel | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 184 | 1 | 2 | 4 | M | Israel | Brownsville | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 185 | 1 | 2 | 4 | F | Dahomey | Israel | 1 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 186 | 1 | 2 | 4 | M | Israel | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 187 | 1 | 2 | 4 | F | Israel | Israel | 1 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 188 | 1 | 2 | 4 | M | Israel | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 189 | 1 | 2 | 4 | F | Sweden | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 190 | 1 | 2 | 4 | M | Israel | Sweden | 1 | L | 250 | 10 | 12 | NA | NA | NA | NA | 64 | 0 |
| 191 | 1 | 2 | 4 | F | Barcelona | Sweden | 1 | L | 250 | 10 | 12 | NA | 25 | 30 | 55 | NA | NA |
| 192 | 1 | 2 | 4 | M | Sweden | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 193 | 1 | 2 | 4 | F | Brownsville | Sweden | 1 | N | NA | NA | NA | NA | 30 | 33 | 63 | NA | NA |
| 194 | 1 | 2 | 4 | M | Sweden | Brownsville | 1 | N | NA | NA | NA | NA | NA | NA | NA | 97 | 2 |
| 195 | 1 | 2 | 4 | F | Dahomey | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 196 | 1 | 2 | 4 | M | Sweden | Dahomey | 1 | P | NA | NA | NA | NA | NA | NA | NA | 116 | 2 |
| 197 | 1 | 2 | 4 | F | Israel | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 198 | 1 | 2 | 4 | M | Sweden | Israel | 1 | P | 269 | 11 | 7 | NA | NA | NA | NA | 79 | 17 |
| 199 | 1 | 2 | 4 | F | Sweden | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 200 | 1 | 2 | 4 | M | Sweden | Sweden | 1 | L | 248 | 10 | 10 | NA | NA | NA | NA | 96 | 0 |
| 201 | 1 | 2 | 5 | F | Barcelona | Barcelona | 1 | P | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 202 | 1 | 2 | 5 | M | Barcelona | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 203 | 1 | 2 | 5 | F | Brownsville | Barcelona | 1 | N | 243 | 10 | 5 | NA | 15 | 18 | 33 | NA | NA |
| 204 | 1 | 2 | 5 | M | Barcelona | Brownsville | 1 | N | NA | NA | NA | NA | NA | NA | NA | 19 | 51 |
| 205 | 1 | 2 | 5 | F | Dahomey | Barcelona | 1 | N | 269 | 11 | 7 | NA | 4 | 6 | 10 | NA | NA |
| 206 | 1 | 2 | 5 | M | Barcelona | Dahomey | 1 | N | NA | NA | NA | NA | NA | NA | NA | 57 | 8 |
| 207 | 1 | 2 | 5 | F | Israel | Barcelona | 1 | N | 269 | 11 | 7 | NA | 0 | 0 | 0 | NA | NA |
| 208 | 1 | 2 | 5 | M | Barcelona | Israel | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 101 |
| 209 | 1 | 2 | 5 | F | Sweden | Barcelona | 1 | N | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 210 | 1 | 2 | 5 | M | Barcelona | Sweden | 1 | N | NA | NA | NA | NA | NA | NA | NA | 79 | 0 |
| 213 | 1 | 2 | 5 | F | Brownsville | Brownsville | 1 | N | NA | NA | NA | NA | 17 | 22 | 39 | NA | NA |
| 214 | 1 | 2 | 5 | M | Brownsville | Brownsville | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 215 | 1 | 2 | 5 | F | Dahomey | Brownsville | 1 | N | NA | NA | NA | NA | 28 | 37 | 65 | NA | NA |
| 216 | 1 | 2 | 5 | M | Brownsville | Dahomey | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 34 |
| 217 | 1 | 2 | 5 | F | Israel | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 218 | 1 | 2 | 5 | M | Brownsville | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 219 | 1 | 2 | 5 | F | Sweden | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 220 | 1 | 2 | 5 | M | Brownsville | Sweden | 1 | L | 274 | 11 | 12 | NA | NA | NA | NA | 0 | 20 |
| 221 | 1 | 2 | 5 | F | Barcelona | Dahomey | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 222 | 1 | 2 | 5 | M | Dahomey | Barcelona | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 223 | 1 | 2 | 5 | F | Brownsville | Dahomey | 1 | N | 267 | 11 | 5 | NA | 0 | 0 | 0 | NA | NA |
| 224 | 1 | 2 | 5 | M | Dahomey | Brownsville | 1 | N | 267 | 11 | 5 | NA | NA | NA | NA | 66 | 0 |
| 227 | 1 | 2 | 5 | F | Israel | Dahomey | 1 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 228 | 1 | 2 | 5 | M | Dahomey | Israel | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 8 |
| 229 | 1 | 2 | 5 | F | Sweden | Dahomey | 1 | N | 267 | 11 | 5 | NA | 0 | 0 | 0 | NA | NA |
| 230 | 1 | 2 | 5 | M | Dahomey | Sweden | 1 | N | 269 | 11 | 7 | NA | NA | NA | NA | 0 | 0 |
| 231 | 1 | 2 | 5 | F | Barcelona | Israel | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 232 | 1 | 2 | 5 | M | Israel | Barcelona | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 233 | 1 | 2 | 5 | F | Brownsville | Israel | 1 | N | 248 | 10 | 10 | NA | 0 | 0 | 0 | NA | NA |
| 234 | 1 | 2 | 5 | M | Israel | Brownsville | 1 | N | 267 | 11 | 5 | NA | NA | NA | NA | 47 | 0 |
| 235 | 1 | 2 | 5 | F | Dahomey | Israel | 1 | N | 270 | 11 | 8 | NA | 30 | 31 | 61 | NA | NA |
| 236 | 1 | 2 | 5 | M | Israel | Dahomey | 1 | N | 274 | 11 | 12 | NA | NA | NA | NA | 11 | 0 |
| 237 | 1 | 2 | 5 | F | Israel | Israel | 1 | N | 248 | 10 | 10 | NA | 23 | 47 | 70 | NA | NA |
| 238 | 1 | 2 | 5 | M | Israel | Israel | 1 | N | 248 | 10 | 10 | NA | NA | NA | NA | 19 | 0 |
| 239 | 1 | 2 | 5 | F | Sweden | Israel | 1 | P | 248 | 10 | 10 | NA | 37 | 46 | 83 | NA | NA |
| 240 | 1 | 2 | 5 | M | Israel | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 241 | 1 | 2 | 5 | F | Barcelona | Sweden | 1 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 242 | 1 | 2 | 5 | M | Sweden | Barcelona | 1 | N | 269 | 11 | 7 | NA | NA | NA | NA | 21 | 19 |
| 243 | 1 | 2 | 5 | F | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 244 | 1 | 2 | 5 | M | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 247 | 1 | 2 | 5 | F | Israel | Sweden | 1 | N | 250 | 10 | 12 | NA | 26 | 17 | 43 | NA | NA |
| 248 | 1 | 2 | 5 | M | Sweden | Israel | 1 | N | 267 | 11 | 5 | NA | NA | NA | NA | 0 | 0 |
| 249 | 1 | 2 | 5 | F | Sweden | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 250 | 1 | 2 | 5 | M | Sweden | Sweden | 1 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 1 |
| 251 | 1 | 2 | 6 | F | Barcelona | Barcelona | 1 | N | 274 | 11 | 12 | NA | 16 | 20 | 36 | NA | NA |
| 252 | 1 | 2 | 6 | M | Barcelona | Barcelona | 1 | N | 288 | 12 | 2 | NA | NA | NA | NA | 0 | 74 |
| 253 | 1 | 2 | 6 | F | Brownsville | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 254 | 1 | 2 | 6 | M | Barcelona | Brownsville | 1 | L | 269 | 11 | 7 | NA | NA | NA | NA | 29 | 0 |
| 255 | 1 | 2 | 6 | F | Dahomey | Barcelona | 1 | L | 247 | 10 | 9 | NA | 40 | 43 | 83 | NA | NA |
| 256 | 1 | 2 | 6 | M | Barcelona | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 257 | 1 | 2 | 6 | F | Israel | Barcelona | 1 | L | NA | NA | NA | NA | 35 | 33 | 68 | NA | NA |
| 258 | 1 | 2 | 6 | M | Barcelona | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 259 | 1 | 2 | 6 | F | Sweden | Barcelona | 1 | P | NA | NA | NA | NA | 50 | 27 | 77 | NA | NA |
| 260 | 1 | 2 | 6 | M | Barcelona | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 261 | 1 | 2 | 6 | F | Barcelona | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 262 | 1 | 2 | 6 | M | Brownsville | Barcelona | 1 | P | 267 | 11 | 5 | NA | NA | NA | NA | 0 | 0 |
| 263 | 1 | 2 | 6 | F | Brownsville | Brownsville | 1 | L | NA | NA | NA | NA | 38 | 46 | 84 | NA | NA |
| 264 | 1 | 2 | 6 | M | Brownsville | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 265 | 1 | 2 | 6 | F | Dahomey | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 266 | 1 | 2 | 6 | M | Brownsville | Dahomey | 1 | P | 269 | 11 | 7 | NA | NA | NA | NA | NA | NA |
| 267 | 1 | 2 | 6 | F | Israel | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 268 | 1 | 2 | 6 | M | Brownsville | Israel | 1 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 33 |
| 269 | 1 | 2 | 6 | F | Sweden | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 270 | 1 | 2 | 6 | M | Brownsville | Sweden | 1 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 271 | 1 | 2 | 6 | F | Barcelona | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 272 | 1 | 2 | 6 | M | Dahomey | Barcelona | 1 | L | 267 | 11 | 5 | NA | NA | NA | NA | 89 | 0 |
| 273 | 1 | 2 | 6 | F | Brownsville | Dahomey | 1 | L | 243 | 10 | 5 | NA | NA | NA | NA | NA | NA |
| 274 | 1 | 2 | 6 | M | Dahomey | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 275 | 1 | 2 | 6 | F | Dahomey | Dahomey | 1 | N | NA | NA | NA | NA | 14 | 13 | 27 | NA | NA |
| 276 | 1 | 2 | 6 | M | Dahomey | Dahomey | 1 | N | 270 | 11 | 8 | NA | NA | NA | NA | 124 | 0 |
| 277 | 1 | 2 | 6 | F | Israel | Dahomey | 1 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 278 | 1 | 2 | 6 | M | Dahomey | Israel | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 281 | 1 | 2 | 6 | F | Barcelona | Israel | 1 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 282 | 1 | 2 | 6 | M | Israel | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 283 | 1 | 2 | 6 | F | Brownsville | Israel | 1 | L | 250 | 10 | 12 | NA | 0 | 0 | 0 | NA | NA |
| 284 | 1 | 2 | 6 | M | Israel | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 285 | 1 | 2 | 6 | F | Dahomey | Israel | 1 | P | 293 | 12 | 7 | NA | 0 | 0 | 0 | NA | NA |
| 286 | 1 | 2 | 6 | M | Israel | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 287 | 1 | 2 | 6 | F | Israel | Israel | 1 | L | 250 | 10 | 12 | NA | 0 | 0 | 0 | NA | NA |
| 288 | 1 | 2 | 6 | M | Israel | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 291 | 1 | 2 | 6 | F | Barcelona | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 292 | 1 | 2 | 6 | M | Sweden | Barcelona | 1 | L | 269 | 11 | 7 | NA | NA | NA | NA | 18 | 0 |
| 293 | 1 | 2 | 6 | F | Brownsville | Sweden | 1 | N | 267 | 11 | 5 | NA | 24 | 23 | 47 | NA | NA |
| 294 | 1 | 2 | 6 | M | Sweden | Brownsville | 1 | N | NA | NA | NA | NA | NA | NA | NA | 64 | 9 |
| 295 | 1 | 2 | 6 | F | Dahomey | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 296 | 1 | 2 | 6 | M | Sweden | Dahomey | 1 | L | 267 | 11 | 5 | NA | NA | NA | NA | 69 | 11 |
| 297 | 1 | 2 | 6 | F | Israel | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 298 | 1 | 2 | 6 | M | Sweden | Israel | 1 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 45 |
| 299 | 1 | 2 | 6 | F | Sweden | Sweden | 1 | P | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 300 | 1 | 2 | 6 | M | Sweden | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 301 | 2 | 1 | 7 | F | Barcelona | Barcelona | 1 | N | 287 | 12 | 1 | NA | 0 | 0 | 0 | NA | NA |
| 302 | 2 | 1 | 7 | M | Barcelona | Barcelona | 1 | N | 289 | 12 | 3 | NA | NA | NA | NA | 110 | 7 |
| 303 | 2 | 1 | 7 | F | Brownsville | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 304 | 2 | 1 | 7 | M | Barcelona | Brownsville | 1 | L | 294 | 12 | 8 | NA | NA | NA | NA | 94 | 0 |
| 305 | 2 | 1 | 7 | F | Dahomey | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 306 | 2 | 1 | 7 | M | Barcelona | Dahomey | 1 | L | 287 | 12 | 1 | NA | NA | NA | NA | 14 | 0 |
| 307 | 2 | 1 | 7 | F | Israel | Barcelona | 1 | P | 272 | 11 | 10 | NA | NA | NA | NA | NA | NA |
| 308 | 2 | 1 | 7 | M | Barcelona | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 309 | 2 | 1 | 7 | F | Sweden | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 310 | 2 | 1 | 7 | M | Barcelona | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 311 | 2 | 1 | 7 | F | Barcelona | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 312 | 2 | 1 | 7 | M | Brownsville | Barcelona | 1 | P | 290 | 12 | 4 | NA | NA | NA | NA | 0 | 88 |
| 313 | 2 | 1 | 7 | F | Brownsville | Brownsville | 1 | N | 269 | 11 | 7 | NA | 36 | 37 | 73 | NA | NA |
| 314 | 2 | 1 | 7 | M | Brownsville | Brownsville | 1 | N | 268 | 11 | 6 | NA | NA | NA | NA | 0 | 21 |
| 315 | 2 | 1 | 7 | F | Dahomey | Brownsville | 1 | N | 288 | 12 | 2 | NA | 19 | 32 | 51 | NA | NA |
| 316 | 2 | 1 | 7 | M | Brownsville | Dahomey | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 88 |
| 317 | 2 | 1 | 7 | F | Israel | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 318 | 2 | 1 | 7 | M | Brownsville | Israel | 1 | L | 286 | 12 | 0 | NA | NA | NA | NA | 18 | 75 |
| 319 | 2 | 1 | 7 | F | Sweden | Brownsville | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 320 | 2 | 1 | 7 | M | Brownsville | Sweden | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 321 | 2 | 1 | 7 | F | Barcelona | Dahomey | 1 | N | 296 | 12 | 10 | NA | 0 | 0 | 0 | NA | NA |
| 322 | 2 | 1 | 7 | M | Dahomey | Barcelona | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 72 |
| 323 | 2 | 1 | 7 | F | Brownsville | Dahomey | 1 | N | 298 | 12 | 12 | NA | 19 | 16 | 35 | NA | NA |
| 324 | 2 | 1 | 7 | M | Dahomey | Brownsville | 1 | N | 295 | 12 | 9 | NA | NA | NA | NA | 46 | 23 |
| 325 | 2 | 1 | 7 | F | Dahomey | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 326 | 2 | 1 | 7 | M | Dahomey | Dahomey | 1 | P | 286 | 12 | 0 | NA | NA | NA | NA | 0 | 26 |
| 327 | 2 | 1 | 7 | F | Israel | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 328 | 2 | 1 | 7 | M | Dahomey | Israel | 1 | L | 266 | 11 | 4 | NA | NA | NA | NA | 0 | 29 |
| 329 | 2 | 1 | 7 | F | Sweden | Dahomey | 1 | N | 269 | 11 | 7 | NA | 39 | 24 | 63 | NA | NA |
| 330 | 2 | 1 | 7 | M | Dahomey | Sweden | 1 | N | 275 | 11 | 13 | NA | NA | NA | NA | 33 | 16 |
| 331 | 2 | 1 | 7 | F | Barcelona | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 332 | 2 | 1 | 7 | M | Israel | Barcelona | 1 | P | 267 | 11 | 5 | NA | NA | NA | NA | 0 | 6 |
| 333 | 2 | 1 | 7 | F | Brownsville | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 334 | 2 | 1 | 7 | M | Israel | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 335 | 2 | 1 | 7 | F | Dahomey | Israel | 1 | L | 287 | 12 | 1 | NA | 39 | 28 | 67 | NA | NA |
| 336 | 2 | 1 | 7 | M | Israel | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 337 | 2 | 1 | 7 | F | Israel | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 338 | 2 | 1 | 7 | M | Israel | Israel | 1 | L | 275 | 11 | 13 | NA | NA | NA | NA | 34 | 10 |
| 339 | 2 | 1 | 7 | F | Sweden | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 340 | 2 | 1 | 7 | M | Israel | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 341 | 2 | 1 | 7 | F | Barcelona | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 342 | 2 | 1 | 7 | M | Sweden | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 343 | 2 | 1 | 7 | F | Brownsville | Sweden | 1 | L | 264 | 11 | 2 | NA | 26 | 32 | 58 | NA | NA |
| 344 | 2 | 1 | 7 | M | Sweden | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 345 | 2 | 1 | 7 | F | Dahomey | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 346 | 2 | 1 | 7 | M | Sweden | Dahomey | 1 | P | NA | NA | NA | NA | NA | NA | NA | 45 | 1 |
| 347 | 2 | 1 | 7 | F | Israel | Sweden | 1 | L | 289 | 12 | 3 | NA | 47 | 41 | 88 | NA | NA |
| 348 | 2 | 1 | 7 | M | Sweden | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 349 | 2 | 1 | 7 | F | Sweden | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 350 | 2 | 1 | 7 | M | Sweden | Sweden | 1 | P | 269 | 11 | 7 | NA | NA | NA | NA | 12 | 0 |
| 351 | 2 | 1 | 8 | F | Barcelona | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 352 | 2 | 1 | 8 | M | Barcelona | Barcelona | 1 | P | 286 | 12 | 0 | NA | NA | NA | NA | 23 | 37 |
| 353 | 2 | 1 | 8 | F | Brownsville | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 354 | 2 | 1 | 8 | M | Barcelona | Brownsville | 1 | P | 268 | 11 | 6 | NA | NA | NA | NA | 107 | 13 |
| 355 | 2 | 1 | 8 | F | Dahomey | Barcelona | 1 | N | 264 | 11 | 2 | NA | 28 | 20 | 48 | NA | NA |
| 356 | 2 | 1 | 8 | M | Barcelona | Dahomey | 1 | N | 271 | 11 | 9 | NA | NA | NA | NA | 48 | 0 |
| 357 | 2 | 1 | 8 | F | Israel | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 358 | 2 | 1 | 8 | M | Barcelona | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 359 | 2 | 1 | 8 | F | Sweden | Barcelona | 1 | L | 248 | 10 | 10 | NA | 36 | 37 | 73 | NA | NA |
| 360 | 2 | 1 | 8 | M | Barcelona | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 361 | 2 | 1 | 8 | F | Barcelona | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 362 | 2 | 1 | 8 | M | Brownsville | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 363 | 2 | 1 | 8 | F | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 364 | 2 | 1 | 8 | M | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 365 | 2 | 1 | 8 | F | Dahomey | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 366 | 2 | 1 | 8 | M | Brownsville | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 367 | 2 | 1 | 8 | F | Israel | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 368 | 2 | 1 | 8 | M | Brownsville | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 369 | 2 | 1 | 8 | F | Sweden | Brownsville | 1 | N | 268 | 11 | 6 | NA | 2 | 6 | 8 | NA | NA |
| 370 | 2 | 1 | 8 | M | Brownsville | Sweden | 1 | N | 250 | 10 | 12 | NA | NA | NA | NA | 0 | 69 |
| 371 | 2 | 1 | 8 | F | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 372 | 2 | 1 | 8 | M | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 373 | 2 | 1 | 8 | F | Brownsville | Dahomey | 1 | N | 271 | 11 | 9 | NA | 26 | 37 | 63 | NA | NA |
| 374 | 2 | 1 | 8 | M | Dahomey | Brownsville | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 375 | 2 | 1 | 8 | F | Dahomey | Dahomey | 1 | P | 245 | 10 | 7 | NA | 9 | 10 | 19 | NA | NA |
| 376 | 2 | 1 | 8 | M | Dahomey | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 377 | 2 | 1 | 8 | F | Israel | Dahomey | 1 | N | NA | NA | NA | NA | 17 | 22 | 39 | NA | NA |
| 378 | 2 | 1 | 8 | M | Dahomey | Israel | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 379 | 2 | 1 | 8 | F | Sweden | Dahomey | 1 | N | 286 | 12 | 0 | NA | 24 | 26 | 50 | NA | NA |
| 380 | 2 | 1 | 8 | M | Dahomey | Sweden | 1 | N | 270 | 11 | 8 | NA | NA | NA | NA | 64 | 28 |
| 381 | 2 | 1 | 8 | F | Barcelona | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 382 | 2 | 1 | 8 | M | Israel | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 383 | 2 | 1 | 8 | F | Brownsville | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 384 | 2 | 1 | 8 | M | Israel | Brownsville | 1 | P | 273 | 11 | 11 | NA | NA | NA | NA | 64 | 0 |
| 385 | 2 | 1 | 8 | F | Dahomey | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 386 | 2 | 1 | 8 | M | Israel | Dahomey | 1 | N | 286 | 12 | 0 | NA | NA | NA | NA | 0 | 49 |
| 387 | 2 | 1 | 8 | F | Israel | Israel | 1 | N | 269 | 11 | 7 | NA | 0 | 0 | 0 | NA | NA |
| 388 | 2 | 1 | 8 | M | Israel | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 389 | 2 | 1 | 8 | F | Sweden | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 390 | 2 | 1 | 8 | M | Israel | Sweden | 1 | P | 264 | 11 | 2 | NA | NA | NA | NA | 0 | 0 |
| 391 | 2 | 1 | 8 | F | Barcelona | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 392 | 2 | 1 | 8 | M | Sweden | Barcelona | 1 | N | 266 | 11 | 4 | NA | NA | NA | NA | 23 | 5 |
| 393 | 2 | 1 | 8 | F | Brownsville | Sweden | 1 | N | 271 | 11 | 9 | NA | 0 | 0 | 0 | NA | NA |
| 394 | 2 | 1 | 8 | M | Sweden | Brownsville | 1 | L | 264 | 11 | 2 | NA | NA | NA | NA | 19 | 0 |
| 395 | 2 | 1 | 8 | F | Dahomey | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 396 | 2 | 1 | 8 | M | Sweden | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 397 | 2 | 1 | 8 | F | Israel | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 398 | 2 | 1 | 8 | M | Sweden | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 399 | 2 | 1 | 8 | F | Sweden | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 400 | 2 | 1 | 8 | M | Sweden | Sweden | 1 | P | 266 | 11 | 4 | NA | NA | NA | NA | 0 | 0 |
| 401 | 2 | 1 | 9 | F | Barcelona | Barcelona | 1 | N | 268 | 11 | 6 | NA | 0 | 0 | 0 | NA | NA |
| 402 | 2 | 1 | 9 | M | Barcelona | Barcelona | 1 | N | 266 | 11 | 4 | NA | NA | NA | NA | 59 | 66 |
| 403 | 2 | 1 | 9 | F | Brownsville | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 404 | 2 | 1 | 9 | M | Barcelona | Brownsville | 1 | L | 272 | 11 | 10 | NA | NA | NA | NA | 17 | 0 |
| 405 | 2 | 1 | 9 | F | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 406 | 2 | 1 | 9 | M | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 407 | 2 | 1 | 9 | F | Israel | Barcelona | 1 | N | NA | NA | NA | NA | 29 | 17 | 46 | NA | NA |
| 408 | 2 | 1 | 9 | M | Barcelona | Israel | 1 | N | NA | NA | NA | NA | NA | NA | NA | 96 | 0 |
| 409 | 2 | 1 | 9 | F | Sweden | Barcelona | 1 | N | 287 | 12 | 1 | NA | 18 | 25 | 43 | NA | NA |
| 410 | 2 | 1 | 9 | M | Barcelona | Sweden | 1 | N | 275 | 11 | 13 | NA | NA | NA | NA | 0 | 50 |
| 411 | 2 | 1 | 9 | F | Barcelona | Brownsville | 1 | L | 269 | 11 | 7 | NA | 26 | 26 | 52 | NA | NA |
| 412 | 2 | 1 | 9 | M | Brownsville | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 413 | 2 | 1 | 9 | F | Brownsville | Brownsville | 1 | N | NA | NA | NA | NA | 26 | 38 | 64 | NA | NA |
| 414 | 2 | 1 | 9 | M | Brownsville | Brownsville | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 100 |
| 415 | 2 | 1 | 9 | F | Dahomey | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 416 | 2 | 1 | 9 | M | Brownsville | Dahomey | 1 | L | 270 | 11 | 8 | NA | NA | NA | NA | 0 | 49 |
| 417 | 2 | 1 | 9 | F | Israel | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 418 | 2 | 1 | 9 | M | Brownsville | Israel | 1 | L | 263 | 10 | 1 | NA | NA | NA | NA | 0 | 0 |
| 419 | 2 | 1 | 9 | F | Sweden | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 420 | 2 | 1 | 9 | M | Brownsville | Sweden | 1 | L | 264 | 11 | 2 | NA | NA | NA | NA | 0 | 90 |
| 421 | 2 | 1 | 9 | F | Barcelona | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 422 | 2 | 1 | 9 | M | Dahomey | Barcelona | 1 | L | 283 | 11 | 21 | NA | NA | NA | NA | 57 | 7 |
| 423 | 2 | 1 | 9 | F | Brownsville | Dahomey | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 424 | 2 | 1 | 9 | M | Dahomey | Brownsville | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 425 | 2 | 1 | 9 | F | Dahomey | Dahomey | 1 | N | 266 | 11 | 4 | NA | 26 | 30 | 56 | NA | NA |
| 426 | 2 | 1 | 9 | M | Dahomey | Dahomey | 1 | N | 266 | 11 | 4 | NA | NA | NA | NA | 23 | 2 |
| 427 | 2 | 1 | 9 | F | Israel | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 428 | 2 | 1 | 9 | M | Dahomey | Israel | 1 | L | 249 | 10 | 11 | NA | NA | NA | NA | 13 | 68 |
| 429 | 2 | 1 | 9 | F | Sweden | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 430 | 2 | 1 | 9 | M | Dahomey | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 431 | 2 | 1 | 9 | F | Barcelona | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 432 | 2 | 1 | 9 | M | Israel | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 433 | 2 | 1 | 9 | F | Brownsville | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 434 | 2 | 1 | 9 | M | Israel | Brownsville | 1 | L | 291 | 12 | 5 | NA | NA | NA | NA | 0 | 55 |
| 435 | 2 | 1 | 9 | F | Dahomey | Israel | 1 | L | NA | NA | NA | NA | 26 | 13 | 39 | NA | NA |
| 436 | 2 | 1 | 9 | M | Israel | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 439 | 2 | 1 | 9 | F | Sweden | Israel | 1 | L | 297 | 12 | 11 | NA | 17 | 22 | 39 | NA | NA |
| 440 | 2 | 1 | 9 | M | Israel | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 441 | 2 | 1 | 9 | F | Barcelona | Sweden | 1 | N | 269 | 11 | 7 | NA | 31 | 19 | 50 | NA | NA |
| 442 | 2 | 1 | 9 | M | Sweden | Barcelona | 1 | N | 294 | 12 | 8 | NA | NA | NA | NA | 0 | 27 |
| 443 | 2 | 1 | 9 | F | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 444 | 2 | 1 | 9 | M | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 445 | 2 | 1 | 9 | F | Dahomey | Sweden | 1 | N | 262 | 10 | 0 | NA | 35 | 30 | 65 | NA | NA |
| 446 | 2 | 1 | 9 | M | Sweden | Dahomey | 1 | N | 266 | 11 | 4 | NA | NA | NA | NA | 0 | 34 |
| 447 | 2 | 1 | 9 | F | Israel | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 448 | 2 | 1 | 9 | M | Sweden | Israel | 1 | L | 265 | 11 | 3 | NA | NA | NA | NA | 79 | 7 |
| 449 | 2 | 1 | 9 | F | Sweden | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 450 | 2 | 1 | 9 | M | Sweden | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 451 | 2 | 1 | 10 | F | Barcelona | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 452 | 2 | 1 | 10 | M | Barcelona | Barcelona | 1 | P | 270 | 11 | 8 | NA | NA | NA | NA | 0 | 0 |
| 453 | 2 | 1 | 10 | F | Brownsville | Barcelona | 1 | L | 266 | 11 | 4 | NA | 45 | 56 | 101 | NA | NA |
| 454 | 2 | 1 | 10 | M | Barcelona | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 455 | 2 | 1 | 10 | F | Dahomey | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 456 | 2 | 1 | 10 | M | Barcelona | Dahomey | 1 | P | 277 | 11 | 15 | NA | NA | NA | NA | 59 | 0 |
| 457 | 2 | 1 | 10 | F | Israel | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 458 | 2 | 1 | 10 | M | Barcelona | Israel | 1 | P | 271 | 11 | 9 | NA | NA | NA | NA | 74 | 0 |
| 461 | 2 | 1 | 10 | F | Barcelona | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 462 | 2 | 1 | 10 | M | Brownsville | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 463 | 2 | 1 | 10 | F | Brownsville | Brownsville | 1 | N | 265 | 11 | 3 | NA | 0 | 0 | 0 | NA | NA |
| 464 | 2 | 1 | 10 | M | Brownsville | Brownsville | 1 | N | 265 | 11 | 3 | NA | NA | NA | NA | 0 | 37 |
| 465 | 2 | 1 | 10 | F | Dahomey | Brownsville | 1 | N | 286 | 12 | 0 | NA | 17 | 31 | 48 | NA | NA |
| 466 | 2 | 1 | 10 | M | Brownsville | Dahomey | 1 | N | 264 | 11 | 2 | NA | NA | NA | NA | 0 | 66 |
| 467 | 2 | 1 | 10 | F | Israel | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 468 | 2 | 1 | 10 | M | Brownsville | Israel | 1 | P | 276 | 11 | 14 | NA | NA | NA | NA | 0 | 0 |
| 469 | 2 | 1 | 10 | F | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 470 | 2 | 1 | 10 | M | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 471 | 2 | 1 | 10 | F | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 472 | 2 | 1 | 10 | M | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 473 | 2 | 1 | 10 | F | Brownsville | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 474 | 2 | 1 | 10 | M | Dahomey | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 475 | 2 | 1 | 10 | F | Dahomey | Dahomey | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 476 | 2 | 1 | 10 | M | Dahomey | Dahomey | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 479 | 2 | 1 | 10 | F | Sweden | Dahomey | 1 | L | 272 | 11 | 10 | NA | 34 | 40 | 74 | NA | NA |
| 480 | 2 | 1 | 10 | M | Dahomey | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 481 | 2 | 1 | 10 | F | Barcelona | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 482 | 2 | 1 | 10 | M | Israel | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 483 | 2 | 1 | 10 | F | Brownsville | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 484 | 2 | 1 | 10 | M | Israel | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 491 | 2 | 1 | 10 | F | Barcelona | Sweden | 1 | P | 287 | 12 | 1 | NA | 22 | 25 | 47 | NA | NA |
| 492 | 2 | 1 | 10 | M | Sweden | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 493 | 2 | 1 | 10 | F | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 494 | 2 | 1 | 10 | M | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 495 | 2 | 1 | 10 | F | Dahomey | Sweden | 1 | L | 270 | 11 | 8 | NA | 38 | 33 | 71 | NA | NA |
| 496 | 2 | 1 | 10 | M | Sweden | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 497 | 2 | 1 | 10 | F | Israel | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 498 | 2 | 1 | 10 | M | Sweden | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 499 | 2 | 1 | 10 | F | Sweden | Sweden | 1 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 500 | 2 | 1 | 10 | M | Sweden | Sweden | 1 | N | 294 | 12 | 8 | NA | NA | NA | NA | 0 | 0 |
| 501 | 2 | 2 | 11 | F | Barcelona | Barcelona | 1 | N | 246 | 10 | 8 | NA | 25 | 20 | 45 | NA | NA |
| 502 | 2 | 2 | 11 | M | Barcelona | Barcelona | 1 | N | 271 | 11 | 9 | NA | NA | NA | NA | 0 | 64 |
| 503 | 2 | 2 | 11 | F | Brownsville | Barcelona | 1 | N | 271 | 11 | 9 | NA | 0 | 0 | 0 | NA | NA |
| 504 | 2 | 2 | 11 | M | Barcelona | Brownsville | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 507 | 2 | 2 | 11 | F | Israel | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 508 | 2 | 2 | 11 | M | Barcelona | Israel | 1 | P | 262 | 10 | 0 | NA | NA | NA | NA | 0 | 80 |
| 511 | 2 | 2 | 11 | F | Barcelona | Brownsville | 1 | N | NA | NA | NA | NA | 32 | 25 | 57 | NA | NA |
| 512 | 2 | 2 | 11 | M | Brownsville | Barcelona | 1 | N | 270 | 11 | 8 | NA | NA | NA | NA | 0 | 62 |
| 513 | 2 | 2 | 11 | F | Brownsville | Brownsville | 1 | N | 261 | 10 | 23 | NA | 31 | 33 | 64 | NA | NA |
| 514 | 2 | 2 | 11 | M | Brownsville | Brownsville | 1 | N | 294 | 12 | 8 | NA | NA | NA | NA | 0 | 0 |
| 515 | 2 | 2 | 11 | F | Dahomey | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 516 | 2 | 2 | 11 | M | Brownsville | Dahomey | 1 | L | 264 | 11 | 2 | NA | NA | NA | NA | 0 | 18 |
| 517 | 2 | 2 | 11 | F | Israel | Brownsville | 1 | N | 249 | 10 | 11 | NA | 0 | 0 | 0 | NA | NA |
| 518 | 2 | 2 | 11 | M | Brownsville | Israel | 1 | N | 271 | 11 | 9 | NA | NA | NA | NA | 67 | 16 |
| 519 | 2 | 2 | 11 | F | Sweden | Brownsville | 1 | N | 306 | 12 | 20 | NA | 0 | 0 | 0 | NA | NA |
| 520 | 2 | 2 | 11 | M | Brownsville | Sweden | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 521 | 2 | 2 | 11 | F | Barcelona | Dahomey | 1 | N | 246 | 10 | 8 | NA | 35 | 39 | 74 | NA | NA |
| 522 | 2 | 2 | 11 | M | Dahomey | Barcelona | 1 | N | 268 | 11 | 6 | NA | NA | NA | NA | 32 | 0 |
| 523 | 2 | 2 | 11 | F | Brownsville | Dahomey | 1 | N | 268 | 11 | 6 | NA | 27 | 31 | 58 | NA | NA |
| 524 | 2 | 2 | 11 | M | Dahomey | Brownsville | 1 | N | 263 | 10 | 1 | NA | NA | NA | NA | 58 | 29 |
| 525 | 2 | 2 | 11 | F | Dahomey | Dahomey | 1 | L | 246 | 10 | 8 | NA | 0 | 0 | 0 | NA | NA |
| 526 | 2 | 2 | 11 | M | Dahomey | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 527 | 2 | 2 | 11 | F | Israel | Dahomey | 1 | N | 294 | 12 | 8 | NA | 0 | 0 | 0 | NA | NA |
| 528 | 2 | 2 | 11 | M | Dahomey | Israel | 1 | N | 302 | 12 | 16 | NA | NA | NA | NA | 12 | 82 |
| 529 | 2 | 2 | 11 | F | Sweden | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 530 | 2 | 2 | 11 | M | Dahomey | Sweden | 1 | L | 249 | 10 | 11 | NA | NA | NA | NA | 81 | 0 |
| 531 | 2 | 2 | 11 | F | Barcelona | Israel | 1 | N | 249 | 10 | 11 | NA | 57 | 72 | 129 | NA | NA |
| 532 | 2 | 2 | 11 | M | Israel | Barcelona | 1 | N | 267 | 11 | 5 | NA | NA | NA | NA | 26 | 63 |
| 533 | 2 | 2 | 11 | F | Brownsville | Israel | 1 | P | 298 | 12 | 12 | NA | 0 | 0 | 0 | NA | NA |
| 534 | 2 | 2 | 11 | M | Israel | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 535 | 2 | 2 | 11 | F | Dahomey | Israel | 1 | L | 250 | 10 | 12 | NA | 27 | 33 | 60 | NA | NA |
| 536 | 2 | 2 | 11 | M | Israel | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 537 | 2 | 2 | 11 | F | Israel | Israel | 1 | N | 244 | 10 | 6 | NA | 33 | 40 | 73 | NA | NA |
| 538 | 2 | 2 | 11 | M | Israel | Israel | 1 | N | 312 | 13 | 2 | NA | NA | NA | NA | 57 | 34 |
| 539 | 2 | 2 | 11 | F | Sweden | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 540 | 2 | 2 | 11 | M | Israel | Sweden | 1 | P | 248 | 10 | 10 | NA | NA | NA | NA | 54 | 26 |
| 541 | 2 | 2 | 11 | F | Barcelona | Sweden | 1 | P | 267 | 11 | 5 | NA | 18 | 20 | 38 | NA | NA |
| 542 | 2 | 2 | 11 | M | Sweden | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 543 | 2 | 2 | 11 | F | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 544 | 2 | 2 | 11 | M | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 545 | 2 | 2 | 11 | F | Dahomey | Sweden | 1 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 546 | 2 | 2 | 11 | M | Sweden | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 547 | 2 | 2 | 11 | F | Israel | Sweden | 1 | N | NA | NA | NA | NA | 30 | 24 | 54 | NA | NA |
| 548 | 2 | 2 | 11 | M | Sweden | Israel | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 46 |
| 549 | 2 | 2 | 11 | F | Sweden | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 550 | 2 | 2 | 11 | M | Sweden | Sweden | 1 | L | 267 | 11 | 5 | NA | NA | NA | NA | 0 | 0 |
| 551 | 2 | 2 | 12 | F | Barcelona | Barcelona | 1 | L | 275 | 11 | 13 | NA | 16 | 19 | 35 | NA | NA |
| 552 | 2 | 2 | 12 | M | Barcelona | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 553 | 2 | 2 | 12 | F | Brownsville | Barcelona | 1 | N | 294 | 12 | 8 | NA | 11 | 13 | 24 | NA | NA |
| 554 | 2 | 2 | 12 | M | Barcelona | Brownsville | 1 | N | 267 | 11 | 5 | NA | NA | NA | NA | 0 | 29 |
| 555 | 2 | 2 | 12 | F | Dahomey | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 556 | 2 | 2 | 12 | M | Barcelona | Dahomey | 1 | L | 265 | 11 | 3 | NA | NA | NA | NA | 0 | 0 |
| 557 | 2 | 2 | 12 | F | Israel | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 558 | 2 | 2 | 12 | M | Barcelona | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 559 | 2 | 2 | 12 | F | Sweden | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 560 | 2 | 2 | 12 | M | Barcelona | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 561 | 2 | 2 | 12 | F | Barcelona | Brownsville | 1 | N | NA | NA | NA | NA | 29 | 28 | 57 | NA | NA |
| 562 | 2 | 2 | 12 | M | Brownsville | Barcelona | 1 | N | 270 | 11 | 8 | NA | NA | NA | NA | 0 | 0 |
| 563 | 2 | 2 | 12 | F | Brownsville | Brownsville | 1 | N | 246 | 10 | 8 | NA | 0 | 0 | 0 | NA | NA |
| 564 | 2 | 2 | 12 | M | Brownsville | Brownsville | 1 | N | 266 | 11 | 4 | NA | NA | NA | NA | 0 | 53 |
| 567 | 2 | 2 | 12 | F | Israel | Brownsville | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 568 | 2 | 2 | 12 | M | Brownsville | Israel | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 569 | 2 | 2 | 12 | F | Sweden | Brownsville | 1 | N | 245 | 10 | 7 | NA | 0 | 0 | 0 | NA | NA |
| 570 | 2 | 2 | 12 | M | Brownsville | Sweden | 1 | N | 288 | 12 | 2 | NA | NA | NA | NA | 0 | 58 |
| 571 | 2 | 2 | 12 | F | Barcelona | Dahomey | 1 | N | 264 | 11 | 2 | NA | 21 | 23 | 44 | NA | NA |
| 572 | 2 | 2 | 12 | M | Dahomey | Barcelona | 1 | N | 294 | 12 | 8 | NA | NA | NA | NA | 0 | 0 |
| 581 | 2 | 2 | 12 | F | Barcelona | Israel | 1 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 582 | 2 | 2 | 12 | M | Israel | Barcelona | 1 | N | NA | NA | NA | NA | NA | NA | NA | 51 | 41 |
| 583 | 2 | 2 | 12 | F | Brownsville | Israel | 1 | N | NA | NA | NA | NA | 7 | 4 | 11 | NA | NA |
| 584 | 2 | 2 | 12 | M | Israel | Brownsville | 1 | N | NA | NA | NA | NA | NA | NA | NA | 45 | 1 |
| 591 | 2 | 2 | 12 | F | Barcelona | Sweden | 1 | L | 244 | 10 | 6 | NA | 55 | 45 | 100 | NA | NA |
| 592 | 2 | 2 | 12 | M | Sweden | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 601 | 3 | 1 | 13 | F | Barcelona | Barcelona | 1 | N | 260 | 10 | 22 | 1.102 | 24 | 34 | 58 | NA | NA |
| 602 | 3 | 1 | 13 | M | Barcelona | Barcelona | 1 | N | 258 | 10 | 20 | 1.009 | NA | NA | NA | 50 | 0 |
| 603 | 3 | 1 | 13 | F | Brownsville | Barcelona | 1 | N | 259 | 10 | 21 | 0.988 | 0 | 0 | 0 | NA | NA |
| 604 | 3 | 1 | 13 | M | Barcelona | Brownsville | 1 | N | 268 | 11 | 6 | NA | NA | NA | NA | 136 | 13 |
| 605 | 3 | 1 | 13 | F | Dahomey | Barcelona | 1 | N | 268 | 11 | 6 | NA | 0 | 0 | 0 | NA | NA |
| 606 | 3 | 1 | 13 | M | Barcelona | Dahomey | 1 | N | 269 | 11 | 7 | 0.940 | NA | NA | NA | 0 | 26 |
| 607 | 3 | 1 | 13 | F | Israel | Barcelona | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 608 | 3 | 1 | 13 | M | Barcelona | Israel | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 609 | 3 | 1 | 13 | F | Sweden | Barcelona | 1 | N | 267 | 11 | 5 | 0.981 | 17 | 15 | 32 | NA | NA |
| 610 | 3 | 1 | 13 | M | Barcelona | Sweden | 1 | N | 260 | 10 | 22 | 0.820 | NA | NA | NA | 96 | 0 |
| 611 | 3 | 1 | 13 | F | Barcelona | Brownsville | 1 | N | 249 | 10 | 11 | 1.202 | 40 | 41 | 81 | NA | NA |
| 612 | 3 | 1 | 13 | M | Brownsville | Barcelona | 1 | N | 250 | 10 | 12 | NA | NA | NA | NA | 0 | 71 |
| 615 | 3 | 1 | 13 | F | Dahomey | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 616 | 3 | 1 | 13 | M | Brownsville | Dahomey | 1 | P | 268 | 11 | 6 | NA | NA | NA | NA | 0 | 0 |
| 617 | 3 | 1 | 13 | F | Israel | Brownsville | 1 | N | 283 | 11 | 21 | 0.969 | 6 | 6 | 12 | NA | NA |
| 618 | 3 | 1 | 13 | M | Brownsville | Israel | 1 | N | 252 | 10 | 14 | NA | NA | NA | NA | 0 | 25 |
| 619 | 3 | 1 | 13 | F | Sweden | Brownsville | 1 | N | 261 | 10 | 23 | NA | 0 | 0 | 0 | NA | NA |
| 620 | 3 | 1 | 13 | M | Brownsville | Sweden | 1 | N | 261 | 10 | 23 | 0.936 | NA | NA | NA | 0 | 73 |
| 621 | 3 | 1 | 13 | F | Barcelona | Dahomey | 1 | N | 267 | 11 | 5 | 0.811 | 9 | 11 | 20 | NA | NA |
| 622 | 3 | 1 | 13 | M | Dahomey | Barcelona | 1 | N | 264 | 11 | 2 | NA | NA | NA | NA | 6 | 69 |
| 623 | 3 | 1 | 13 | F | Brownsville | Dahomey | 1 | N | 266 | 11 | 4 | NA | 19 | 17 | 36 | NA | NA |
| 624 | 3 | 1 | 13 | M | Dahomey | Brownsville | 1 | N | 266 | 11 | 4 | 0.840 | NA | NA | NA | 45 | 1 |
| 625 | 3 | 1 | 13 | F | Dahomey | Dahomey | 1 | N | 246 | 10 | 8 | 1.264 | 40 | 31 | 71 | NA | NA |
| 626 | 3 | 1 | 13 | M | Dahomey | Dahomey | 1 | N | 268 | 11 | 6 | 0.957 | NA | NA | NA | 0 | 120 |
| 627 | 3 | 1 | 13 | F | Israel | Dahomey | 1 | N | 265 | 11 | 3 | NA | 13 | 19 | 32 | NA | NA |
| 628 | 3 | 1 | 13 | M | Dahomey | Israel | 1 | N | 273 | 11 | 11 | NA | NA | NA | NA | 42 | 21 |
| 629 | 3 | 1 | 13 | F | Sweden | Dahomey | 1 | N | 246 | 10 | 8 | 1.179 | 13 | 12 | 25 | NA | NA |
| 630 | 3 | 1 | 13 | M | Dahomey | Sweden | 1 | N | 245 | 10 | 7 | 1.102 | NA | NA | NA | 67 | 0 |
| 631 | 3 | 1 | 13 | F | Barcelona | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 632 | 3 | 1 | 13 | M | Israel | Barcelona | 1 | P | 248 | 10 | 10 | 1.179 | NA | NA | NA | 90 | 0 |
| 633 | 3 | 1 | 13 | F | Brownsville | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 634 | 3 | 1 | 13 | M | Israel | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 635 | 3 | 1 | 13 | F | Dahomey | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 636 | 3 | 1 | 13 | M | Israel | Dahomey | 1 | P | 252 | 10 | 14 | 1.014 | NA | NA | NA | 72 | 17 |
| 637 | 3 | 1 | 13 | F | Israel | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 638 | 3 | 1 | 13 | M | Israel | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 639 | 3 | 1 | 13 | F | Sweden | Israel | 1 | N | NA | NA | NA | 1.194 | 25 | 21 | 46 | NA | NA |
| 640 | 3 | 1 | 13 | M | Israel | Sweden | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 641 | 3 | 1 | 13 | F | Barcelona | Sweden | 1 | N | 258 | 10 | 20 | NA | 28 | 20 | 48 | NA | NA |
| 642 | 3 | 1 | 13 | M | Sweden | Barcelona | 1 | N | 260 | 10 | 22 | 1.030 | NA | NA | NA | 140 | 0 |
| 643 | 3 | 1 | 13 | F | Brownsville | Sweden | 1 | N | 252 | 10 | 14 | 1.083 | 23 | 22 | 45 | NA | NA |
| 644 | 3 | 1 | 13 | M | Sweden | Brownsville | 1 | N | 270 | 11 | 8 | 0.926 | NA | NA | NA | 0 | 103 |
| 645 | 3 | 1 | 13 | F | Dahomey | Sweden | 1 | L | 246 | 10 | 8 | 1.287 | 0 | 0 | 0 | NA | NA |
| 646 | 3 | 1 | 13 | M | Sweden | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 647 | 3 | 1 | 13 | F | Israel | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 648 | 3 | 1 | 13 | M | Sweden | Israel | 1 | P | 246 | 10 | 8 | 1.139 | NA | NA | NA | 44 | 0 |
| 649 | 3 | 1 | 13 | F | Sweden | Sweden | 1 | N | 244 | 10 | 6 | 1.163 | 26 | 32 | 58 | NA | NA |
| 650 | 3 | 1 | 13 | M | Sweden | Sweden | 1 | N | 287 | 12 | 1 | 0.951 | NA | NA | NA | 0 | 52 |
| 651 | 3 | 1 | 14 | F | Barcelona | Barcelona | 1 | P | 260 | 10 | 22 | 1.020 | 35 | 19 | 54 | NA | NA |
| 652 | 3 | 1 | 14 | M | Barcelona | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 653 | 3 | 1 | 14 | F | Brownsville | Barcelona | 1 | P | 256 | 10 | 18 | 1.142 | 29 | 29 | 58 | NA | NA |
| 654 | 3 | 1 | 14 | M | Barcelona | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 655 | 3 | 1 | 14 | F | Dahomey | Barcelona | 1 | N | 254 | 10 | 16 | 1.176 | 13 | 34 | 47 | NA | NA |
| 656 | 3 | 1 | 14 | M | Barcelona | Dahomey | 1 | N | 264 | 11 | 2 | 0.982 | NA | NA | NA | 119 | 0 |
| 657 | 3 | 1 | 14 | F | Israel | Barcelona | 1 | N | 273 | 11 | 11 | 1.108 | 0 | 0 | 0 | NA | NA |
| 658 | 3 | 1 | 14 | M | Barcelona | Israel | 1 | N | 267 | 11 | 5 | 1.033 | NA | NA | NA | 0 | 59 |
| 661 | 3 | 1 | 14 | F | Barcelona | Brownsville | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 662 | 3 | 1 | 14 | M | Brownsville | Barcelona | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 663 | 3 | 1 | 14 | F | Brownsville | Brownsville | 1 | N | 265 | 11 | 3 | 1.039 | 5 | 4 | 9 | NA | NA |
| 664 | 3 | 1 | 14 | M | Brownsville | Brownsville | 1 | N | 268 | 11 | 6 | 1.012 | NA | NA | NA | 0 | 72 |
| 665 | 3 | 1 | 14 | F | Dahomey | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 666 | 3 | 1 | 14 | M | Brownsville | Dahomey | 1 | P | 250 | 10 | 12 | 1.050 | NA | NA | NA | 0 | 0 |
| 667 | 3 | 1 | 14 | F | Israel | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 668 | 3 | 1 | 14 | M | Brownsville | Israel | 1 | L | 243 | 10 | 5 | 1.009 | NA | NA | NA | 0 | 32 |
| 669 | 3 | 1 | 14 | F | Sweden | Brownsville | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 670 | 3 | 1 | 14 | M | Brownsville | Sweden | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 671 | 3 | 1 | 14 | F | Barcelona | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 672 | 3 | 1 | 14 | M | Dahomey | Barcelona | 1 | P | 273 | 11 | 11 | NA | NA | NA | NA | 0 | 57 |
| 673 | 3 | 1 | 14 | F | Brownsville | Dahomey | 1 | N | 248 | 10 | 10 | NA | 27 | 24 | 51 | NA | NA |
| 674 | 3 | 1 | 14 | M | Dahomey | Brownsville | 1 | N | 253 | 10 | 15 | NA | NA | NA | NA | 0 | 0 |
| 675 | 3 | 1 | 14 | F | Dahomey | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 676 | 3 | 1 | 14 | M | Dahomey | Dahomey | 1 | P | 273 | 11 | 11 | 0.964 | NA | NA | NA | 0 | 76 |
| 677 | 3 | 1 | 14 | F | Israel | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 678 | 3 | 1 | 14 | M | Dahomey | Israel | 1 | P | 266 | 11 | 4 | 1.030 | NA | NA | NA | 86 | 4 |
| 679 | 3 | 1 | 14 | F | Sweden | Dahomey | 1 | N | 248 | 10 | 10 | NA | 0 | 0 | 0 | NA | NA |
| 680 | 3 | 1 | 14 | M | Dahomey | Sweden | 1 | N | 258 | 10 | 20 | NA | NA | NA | NA | 0 | 48 |
| 681 | 3 | 1 | 14 | F | Barcelona | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 682 | 3 | 1 | 14 | M | Israel | Barcelona | 1 | P | 262 | 10 | 0 | 1.050 | NA | NA | NA | 83 | 5 |
| 683 | 3 | 1 | 14 | F | Brownsville | Israel | 1 | N | 261 | 10 | 23 | 1.084 | 22 | 23 | 45 | NA | NA |
| 684 | 3 | 1 | 14 | M | Israel | Brownsville | 1 | N | 261 | 10 | 23 | 0.975 | NA | NA | NA | 69 | 0 |
| 685 | 3 | 1 | 14 | F | Dahomey | Israel | 1 | N | 259 | 10 | 21 | 1.155 | 0 | 0 | 0 | NA | NA |
| 686 | 3 | 1 | 14 | M | Israel | Dahomey | 1 | N | 283 | 11 | 21 | 0.931 | NA | NA | NA | 0 | 40 |
| 687 | 3 | 1 | 14 | F | Israel | Israel | 1 | N | 269 | 11 | 7 | NA | 0 | 0 | 0 | NA | NA |
| 688 | 3 | 1 | 14 | M | Israel | Israel | 1 | N | 276 | 11 | 14 | 1.060 | NA | NA | NA | 138 | 0 |
| 689 | 3 | 1 | 14 | F | Sweden | Israel | 1 | N | 271 | 11 | 9 | 1.038 | 14 | 15 | 29 | NA | NA |
| 690 | 3 | 1 | 14 | M | Israel | Sweden | 1 | N | 274 | 11 | 12 | 1.032 | NA | NA | NA | 30 | 6 |
| 691 | 3 | 1 | 14 | F | Barcelona | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 692 | 3 | 1 | 14 | M | Sweden | Barcelona | 1 | P | 266 | 11 | 4 | 1.035 | NA | NA | NA | 0 | 47 |
| 693 | 3 | 1 | 14 | F | Brownsville | Sweden | 1 | N | 259 | 10 | 21 | 1.106 | 36 | 24 | 60 | NA | NA |
| 694 | 3 | 1 | 14 | M | Sweden | Brownsville | 1 | N | 253 | 10 | 15 | 1.054 | NA | NA | NA | 53 | 6 |
| 695 | 3 | 1 | 14 | F | Dahomey | Sweden | 1 | N | 270 | 11 | 8 | NA | 0 | 0 | 0 | NA | NA |
| 696 | 3 | 1 | 14 | M | Sweden | Dahomey | 1 | N | 261 | 10 | 23 | 1.074 | NA | NA | NA | 0 | 37 |
| 697 | 3 | 1 | 14 | F | Israel | Sweden | 1 | N | 275 | 11 | 13 | 1.167 | 32 | 28 | 60 | NA | NA |
| 698 | 3 | 1 | 14 | M | Sweden | Israel | 1 | N | 288 | 12 | 2 | NA | NA | NA | NA | 0 | 0 |
| 699 | 3 | 1 | 14 | F | Sweden | Sweden | 1 | N | 249 | 10 | 11 | 1.111 | 30 | 26 | 56 | NA | NA |
| 700 | 3 | 1 | 14 | M | Sweden | Sweden | 1 | N | 270 | 11 | 8 | 1.072 | NA | NA | NA | 85 | 17 |
| 701 | 3 | 1 | 15 | F | Barcelona | Barcelona | 1 | P | 262 | 10 | 0 | NA | NA | NA | NA | NA | NA |
| 702 | 3 | 1 | 15 | M | Barcelona | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 703 | 3 | 1 | 15 | F | Brownsville | Barcelona | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 704 | 3 | 1 | 15 | M | Barcelona | Brownsville | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 705 | 3 | 1 | 15 | F | Dahomey | Barcelona | 1 | N | 247 | 10 | 9 | 1.113 | 15 | 14 | 29 | NA | NA |
| 706 | 3 | 1 | 15 | M | Barcelona | Dahomey | 1 | N | 267 | 11 | 5 | NA | NA | NA | NA | 0 | 0 |
| 707 | 3 | 1 | 15 | F | Israel | Barcelona | 1 | N | 258 | 10 | 20 | 1.210 | 29 | 18 | 47 | NA | NA |
| 708 | 3 | 1 | 15 | M | Barcelona | Israel | 1 | N | 261 | 10 | 23 | 1.137 | NA | NA | NA | 50 | 0 |
| 709 | 3 | 1 | 15 | F | Sweden | Barcelona | 1 | N | 252 | 10 | 14 | 1.057 | 26 | 23 | 49 | NA | NA |
| 710 | 3 | 1 | 15 | M | Barcelona | Sweden | 1 | N | 249 | 10 | 11 | 1.060 | NA | NA | NA | 71 | 13 |
| 711 | 3 | 1 | 15 | F | Barcelona | Brownsville | 1 | N | 267 | 11 | 5 | 1.074 | 38 | 35 | 73 | NA | NA |
| 712 | 3 | 1 | 15 | M | Brownsville | Barcelona | 1 | N | 256 | 10 | 18 | 1.082 | NA | NA | NA | 0 | 87 |
| 713 | 3 | 1 | 15 | F | Brownsville | Brownsville | 1 | L | 268 | 11 | 6 | NA | NA | NA | NA | NA | NA |
| 714 | 3 | 1 | 15 | M | Brownsville | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 715 | 3 | 1 | 15 | F | Dahomey | Brownsville | 1 | N | 246 | 10 | 8 | 1.220 | 0 | 0 | 0 | NA | NA |
| 716 | 3 | 1 | 15 | M | Brownsville | Dahomey | 1 | N | 249 | 10 | 11 | 1.094 | NA | NA | NA | 0 | 45 |
| 717 | 3 | 1 | 15 | F | Israel | Brownsville | 1 | P | 265 | 11 | 3 | 1.105 | 0 | 0 | 0 | NA | NA |
| 718 | 3 | 1 | 15 | M | Brownsville | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 719 | 3 | 1 | 15 | F | Sweden | Brownsville | 1 | L | 247 | 10 | 9 | 1.285 | NA | NA | NA | NA | NA |
| 720 | 3 | 1 | 15 | M | Brownsville | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 721 | 3 | 1 | 15 | F | Barcelona | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 722 | 3 | 1 | 15 | M | Dahomey | Barcelona | 1 | P | 258 | 10 | 20 | 1.071 | NA | NA | NA | 151 | 1 |
| 723 | 3 | 1 | 15 | F | Brownsville | Dahomey | 1 | N | 255 | 10 | 17 | 1.178 | 5 | 5 | 10 | NA | NA |
| 724 | 3 | 1 | 15 | M | Dahomey | Brownsville | 1 | N | 254 | 10 | 16 | 1.087 | NA | NA | NA | 150 | 2 |
| 725 | 3 | 1 | 15 | F | Dahomey | Dahomey | 1 | N | 293 | 12 | 7 | 1.052 | 21 | 32 | 53 | NA | NA |
| 726 | 3 | 1 | 15 | M | Dahomey | Dahomey | 1 | N | 270 | 11 | 8 | NA | NA | NA | NA | 0 | 0 |
| 727 | 3 | 1 | 15 | F | Israel | Dahomey | 1 | L | 265 | 11 | 3 | 1.233 | 44 | 32 | 76 | NA | NA |
| 728 | 3 | 1 | 15 | M | Dahomey | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 729 | 3 | 1 | 15 | F | Sweden | Dahomey | 1 | N | 266 | 11 | 4 | NA | 20 | 14 | 34 | NA | NA |
| 730 | 3 | 1 | 15 | M | Dahomey | Sweden | 1 | N | 247 | 10 | 9 | 1.060 | NA | NA | NA | 112 | 30 |
| 731 | 3 | 1 | 15 | F | Barcelona | Israel | 1 | N | 260 | 10 | 22 | 1.179 | 0 | 0 | 0 | NA | NA |
| 732 | 3 | 1 | 15 | M | Israel | Barcelona | 1 | N | 264 | 11 | 2 | 1.038 | NA | NA | NA | 0 | 0 |
| 733 | 3 | 1 | 15 | F | Brownsville | Israel | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 734 | 3 | 1 | 15 | M | Israel | Brownsville | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 735 | 3 | 1 | 15 | F | Dahomey | Israel | 1 | P | 262 | 10 | 0 | 1.106 | 26 | 25 | 51 | NA | NA |
| 736 | 3 | 1 | 15 | M | Israel | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 737 | 3 | 1 | 15 | F | Israel | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 738 | 3 | 1 | 15 | M | Israel | Israel | 1 | P | 256 | 10 | 18 | 1.134 | NA | NA | NA | 1 | 3 |
| 739 | 3 | 1 | 15 | F | Sweden | Israel | 1 | L | 259 | 10 | 21 | 1.214 | 8 | 18 | 26 | NA | NA |
| 740 | 3 | 1 | 15 | M | Israel | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 741 | 3 | 1 | 15 | F | Barcelona | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 742 | 3 | 1 | 15 | M | Sweden | Barcelona | 1 | L | 257 | 10 | 19 | 1.005 | NA | NA | NA | 73 | 36 |
| 743 | 3 | 1 | 15 | F | Brownsville | Sweden | 1 | N | 263 | 10 | 1 | 1.057 | 31 | 21 | 52 | NA | NA |
| 744 | 3 | 1 | 15 | M | Sweden | Brownsville | 1 | N | 270 | 11 | 8 | 0.928 | NA | NA | NA | 0 | 11 |
| 745 | 3 | 1 | 15 | F | Dahomey | Sweden | 1 | N | 262 | 10 | 0 | 1.068 | 24 | 28 | 52 | NA | NA |
| 746 | 3 | 1 | 15 | M | Sweden | Dahomey | 1 | N | 271 | 11 | 9 | NA | NA | NA | NA | 0 | 0 |
| 747 | 3 | 1 | 15 | F | Israel | Sweden | 1 | N | 278 | 11 | 16 | 1.133 | 27 | 30 | 57 | NA | NA |
| 748 | 3 | 1 | 15 | M | Sweden | Israel | 1 | N | 261 | 10 | 23 | NA | NA | NA | NA | 59 | 109 |
| 749 | 3 | 1 | 15 | F | Sweden | Sweden | 1 | P | 268 | 11 | 6 | 1.140 | 38 | 31 | 69 | NA | NA |
| 750 | 3 | 1 | 15 | M | Sweden | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 751 | 3 | 1 | 16 | F | Barcelona | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 752 | 3 | 1 | 16 | M | Barcelona | Barcelona | 1 | P | 268 | 11 | 6 | 0.926 | NA | NA | NA | 0 | 19 |
| 753 | 3 | 1 | 16 | F | Brownsville | Barcelona | 1 | L | 243 | 10 | 5 | 1.369 | 0 | 0 | 0 | NA | NA |
| 754 | 3 | 1 | 16 | M | Barcelona | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 755 | 3 | 1 | 16 | F | Dahomey | Barcelona | 1 | P | 264 | 11 | 2 | NA | 0 | 0 | 0 | NA | NA |
| 756 | 3 | 1 | 16 | M | Barcelona | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 757 | 3 | 1 | 16 | F | Israel | Barcelona | 1 | N | 262 | 10 | 0 | 1.202 | 31 | 37 | 68 | NA | NA |
| 758 | 3 | 1 | 16 | M | Barcelona | Israel | 1 | N | 285 | 11 | 23 | 1.016 | NA | NA | NA | 0 | 32 |
| 759 | 3 | 1 | 16 | F | Sweden | Barcelona | 1 | N | 253 | 10 | 15 | NA | 0 | 0 | 0 | NA | NA |
| 760 | 3 | 1 | 16 | M | Barcelona | Sweden | 1 | N | 289 | 12 | 3 | NA | NA | NA | NA | 0 | 0 |
| 761 | 3 | 1 | 16 | F | Barcelona | Brownsville | 1 | L | 259 | 10 | 21 | 1.303 | 47 | 53 | 100 | NA | NA |
| 762 | 3 | 1 | 16 | M | Brownsville | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 763 | 3 | 1 | 16 | F | Brownsville | Brownsville | 1 | P | 262 | 10 | 0 | NA | 24 | 11 | 35 | NA | NA |
| 764 | 3 | 1 | 16 | M | Brownsville | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 765 | 3 | 1 | 16 | F | Dahomey | Brownsville | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 766 | 3 | 1 | 16 | M | Brownsville | Dahomey | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 767 | 3 | 1 | 16 | F | Israel | Brownsville | 1 | N | 273 | 11 | 11 | 1.174 | 0 | 0 | 0 | NA | NA |
| 768 | 3 | 1 | 16 | M | Brownsville | Israel | 1 | N | 274 | 11 | 12 | NA | NA | NA | NA | 0 | 0 |
| 769 | 3 | 1 | 16 | F | Sweden | Brownsville | 1 | N | NA | NA | NA | 1.086 | 27 | 29 | 56 | NA | NA |
| 770 | 3 | 1 | 16 | M | Brownsville | Sweden | 1 | N | NA | NA | NA | 0.969 | NA | NA | NA | 0 | 11 |
| 771 | 3 | 1 | 16 | F | Barcelona | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 772 | 3 | 1 | 16 | M | Dahomey | Barcelona | 1 | P | 287 | 12 | 1 | NA | NA | NA | NA | 0 | 65 |
| 773 | 3 | 1 | 16 | F | Brownsville | Dahomey | 1 | P | 262 | 10 | 0 | 1.166 | 37 | 27 | 64 | NA | NA |
| 774 | 3 | 1 | 16 | M | Dahomey | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 775 | 3 | 1 | 16 | F | Dahomey | Dahomey | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 776 | 3 | 1 | 16 | M | Dahomey | Dahomey | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 777 | 3 | 1 | 16 | F | Israel | Dahomey | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 778 | 3 | 1 | 16 | M | Dahomey | Israel | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 781 | 3 | 1 | 16 | F | Barcelona | Israel | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 782 | 3 | 1 | 16 | M | Israel | Barcelona | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 783 | 3 | 1 | 16 | F | Brownsville | Israel | 1 | N | 255 | 10 | 17 | 1.190 | 0 | 0 | 0 | NA | NA |
| 784 | 3 | 1 | 16 | M | Israel | Brownsville | 1 | N | 266 | 11 | 4 | NA | NA | NA | NA | 0 | 63 |
| 785 | 3 | 1 | 16 | F | Dahomey | Israel | 1 | P | 260 | 10 | 22 | 1.134 | 26 | 31 | 57 | NA | NA |
| 786 | 3 | 1 | 16 | M | Israel | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 787 | 3 | 1 | 16 | F | Israel | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 788 | 3 | 1 | 16 | M | Israel | Israel | 1 | P | 262 | 10 | 0 | 1.116 | NA | NA | NA | 92 | 2 |
| 789 | 3 | 1 | 16 | F | Sweden | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 790 | 3 | 1 | 16 | M | Israel | Sweden | 1 | P | 273 | 11 | 11 | NA | NA | NA | NA | 0 | 0 |
| 793 | 3 | 1 | 16 | F | Brownsville | Sweden | 1 | L | 262 | 10 | 0 | 1.183 | 13 | 0 | 13 | NA | NA |
| 794 | 3 | 1 | 16 | M | Sweden | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 795 | 3 | 1 | 16 | F | Dahomey | Sweden | 1 | P | 274 | 11 | 12 | 0.940 | 27 | 29 | 56 | NA | NA |
| 796 | 3 | 1 | 16 | M | Sweden | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 797 | 3 | 1 | 16 | F | Israel | Sweden | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 798 | 3 | 1 | 16 | M | Sweden | Israel | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 799 | 3 | 1 | 16 | F | Sweden | Sweden | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 800 | 3 | 1 | 16 | M | Sweden | Sweden | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 801 | 3 | 2 | 17 | F | Barcelona | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 802 | 3 | 2 | 17 | M | Barcelona | Barcelona | 1 | P | 255 | 10 | 17 | NA | NA | NA | NA | 0 | 0 |
| 803 | 3 | 2 | 17 | F | Brownsville | Barcelona | 1 | N | 244 | 10 | 6 | 1.108 | 23 | 20 | 43 | NA | NA |
| 804 | 3 | 2 | 17 | M | Barcelona | Brownsville | 1 | N | 249 | 10 | 11 | NA | NA | NA | NA | 0 | 0 |
| 805 | 3 | 2 | 17 | F | Dahomey | Barcelona | 1 | L | 265 | 11 | 3 | 1.024 | 26 | 29 | 55 | NA | NA |
| 806 | 3 | 2 | 17 | M | Barcelona | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 807 | 3 | 2 | 17 | F | Israel | Barcelona | 1 | N | 265 | 11 | 3 | 1.015 | 20 | 18 | 38 | NA | NA |
| 808 | 3 | 2 | 17 | M | Barcelona | Israel | 1 | N | 264 | 11 | 2 | 0.955 | NA | NA | NA | 119 | 0 |
| 809 | 3 | 2 | 17 | F | Sweden | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 810 | 3 | 2 | 17 | M | Barcelona | Sweden | 1 | P | 266 | 11 | 4 | 0.956 | NA | NA | NA | 0 | 35 |
| 811 | 3 | 2 | 17 | F | Barcelona | Brownsville | 1 | P | 263 | 10 | 1 | 1.119 | 18 | 8 | 26 | NA | NA |
| 812 | 3 | 2 | 17 | M | Brownsville | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 813 | 3 | 2 | 17 | F | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 814 | 3 | 2 | 17 | M | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 815 | 3 | 2 | 17 | F | Dahomey | Brownsville | 1 | P | 245 | 10 | 7 | 1.143 | 31 | 32 | 63 | NA | NA |
| 816 | 3 | 2 | 17 | M | Brownsville | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 817 | 3 | 2 | 17 | F | Israel | Brownsville | 1 | N | 258 | 10 | 20 | 1.172 | 37 | 34 | 71 | NA | NA |
| 818 | 3 | 2 | 17 | M | Brownsville | Israel | 1 | N | 269 | 11 | 7 | 1.025 | NA | NA | NA | 67 | 44 |
| 819 | 3 | 2 | 17 | F | Sweden | Brownsville | 1 | N | 262 | 10 | 0 | 1.183 | 20 | 20 | 40 | NA | NA |
| 820 | 3 | 2 | 17 | M | Brownsville | Sweden | 1 | N | 261 | 10 | 23 | 1.006 | NA | NA | NA | 96 | 0 |
| 821 | 3 | 2 | 17 | F | Barcelona | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 822 | 3 | 2 | 17 | M | Dahomey | Barcelona | 1 | P | 257 | 10 | 19 | NA | NA | NA | NA | 0 | 0 |
| 823 | 3 | 2 | 17 | F | Brownsville | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 824 | 3 | 2 | 17 | M | Dahomey | Brownsville | 1 | P | 255 | 10 | 17 | 1.068 | NA | NA | NA | 32 | 2 |
| 825 | 3 | 2 | 17 | F | Dahomey | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 826 | 3 | 2 | 17 | M | Dahomey | Dahomey | 1 | L | 263 | 10 | 1 | NA | NA | NA | NA | 8 | 20 |
| 827 | 3 | 2 | 17 | F | Israel | Dahomey | 1 | N | 242 | 10 | 4 | 1.094 | 23 | 31 | 54 | NA | NA |
| 828 | 3 | 2 | 17 | M | Dahomey | Israel | 1 | N | 262 | 10 | 0 | NA | NA | NA | NA | 0 | 0 |
| 829 | 3 | 2 | 17 | F | Sweden | Dahomey | 1 | N | 272 | 11 | 10 | NA | 0 | 0 | 0 | NA | NA |
| 830 | 3 | 2 | 17 | M | Dahomey | Sweden | 1 | N | 263 | 10 | 1 | 1.023 | NA | NA | NA | 121 | 2 |
| 831 | 3 | 2 | 17 | F | Barcelona | Israel | 1 | N | 276 | 11 | 14 | 1.123 | 27 | 31 | 58 | NA | NA |
| 832 | 3 | 2 | 17 | M | Israel | Barcelona | 1 | N | 251 | 10 | 13 | 1.055 | NA | NA | NA | 83 | 68 |
| 833 | 3 | 2 | 17 | F | Brownsville | Israel | 1 | N | 285 | 11 | 23 | 1.013 | 12 | 30 | 42 | NA | NA |
| 834 | 3 | 2 | 17 | M | Israel | Brownsville | 1 | N | 261 | 10 | 23 | NA | NA | NA | NA | 58 | 0 |
| 835 | 3 | 2 | 17 | F | Dahomey | Israel | 1 | L | 271 | 11 | 9 | 1.137 | 27 | 23 | 50 | NA | NA |
| 836 | 3 | 2 | 17 | M | Israel | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 837 | 3 | 2 | 17 | F | Israel | Israel | 1 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 838 | 3 | 2 | 17 | M | Israel | Israel | 1 | N | 259 | 10 | 21 | 0.977 | NA | NA | NA | 0 | 45 |
| 839 | 3 | 2 | 17 | F | Sweden | Israel | 1 | N | 267 | 11 | 5 | 1.022 | 12 | 23 | 35 | NA | NA |
| 840 | 3 | 2 | 17 | M | Israel | Sweden | 1 | N | 258 | 10 | 20 | 1.017 | NA | NA | NA | 76 | 0 |
| 841 | 3 | 2 | 17 | F | Barcelona | Sweden | 1 | N | 257 | 10 | 19 | NA | 0 | 0 | 0 | NA | NA |
| 842 | 3 | 2 | 17 | M | Sweden | Barcelona | 1 | N | 258 | 10 | 20 | NA | NA | NA | NA | 119 | 0 |
| 843 | 3 | 2 | 17 | F | Brownsville | Sweden | 1 | N | 264 | 11 | 2 | 1.133 | 15 | 18 | 33 | NA | NA |
| 844 | 3 | 2 | 17 | M | Sweden | Brownsville | 1 | N | NA | NA | NA | 0.938 | NA | NA | NA | 0 | 40 |
| 845 | 3 | 2 | 17 | F | Dahomey | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 846 | 3 | 2 | 17 | M | Sweden | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 847 | 3 | 2 | 17 | F | Israel | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 848 | 3 | 2 | 17 | M | Sweden | Israel | 1 | L | 283 | 11 | 21 | 0.875 | NA | NA | NA | 0 | 56 |
| 849 | 3 | 2 | 17 | F | Sweden | Sweden | 1 | N | 247 | 10 | 9 | NA | 0 | 0 | 0 | NA | NA |
| 850 | 3 | 2 | 17 | M | Sweden | Sweden | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 851 | 3 | 2 | 18 | F | Barcelona | Barcelona | 1 | L | 267 | 11 | 5 | NA | 37 | 20 | 57 | NA | NA |
| 852 | 3 | 2 | 18 | M | Barcelona | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 855 | 3 | 2 | 18 | F | Dahomey | Barcelona | 1 | L | 247 | 10 | 9 | 1.175 | 35 | 30 | 65 | NA | NA |
| 856 | 3 | 2 | 18 | M | Barcelona | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 857 | 3 | 2 | 18 | F | Israel | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 858 | 3 | 2 | 18 | M | Barcelona | Israel | 1 | L | 263 | 10 | 1 | 1.051 | NA | NA | NA | 93 | 15 |
| 859 | 3 | 2 | 18 | F | Sweden | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 860 | 3 | 2 | 18 | M | Barcelona | Sweden | 1 | P | 268 | 11 | 6 | 0.949 | NA | NA | NA | 0 | 115 |
| 861 | 3 | 2 | 18 | F | Barcelona | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 862 | 3 | 2 | 18 | M | Brownsville | Barcelona | 1 | P | 268 | 11 | 6 | 1.033 | NA | NA | NA | 0 | 94 |
| 863 | 3 | 2 | 18 | F | Brownsville | Brownsville | 1 | P | 249 | 10 | 11 | NA | 0 | 0 | 0 | NA | NA |
| 864 | 3 | 2 | 18 | M | Brownsville | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 865 | 3 | 2 | 18 | F | Dahomey | Brownsville | 1 | N | 250 | 10 | 12 | NA | 38 | 38 | 76 | NA | NA |
| 866 | 3 | 2 | 18 | M | Brownsville | Dahomey | 1 | N | 263 | 10 | 1 | NA | NA | NA | NA | 0 | 0 |
| 867 | 3 | 2 | 18 | F | Israel | Brownsville | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 868 | 3 | 2 | 18 | M | Brownsville | Israel | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 869 | 3 | 2 | 18 | F | Sweden | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 870 | 3 | 2 | 18 | M | Brownsville | Sweden | 1 | P | 263 | 10 | 1 | NA | NA | NA | NA | 0 | 0 |
| 871 | 3 | 2 | 18 | F | Barcelona | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 872 | 3 | 2 | 18 | M | Dahomey | Barcelona | 1 | P | 249 | 10 | 11 | NA | NA | NA | NA | 0 | 0 |
| 873 | 3 | 2 | 18 | F | Brownsville | Dahomey | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 874 | 3 | 2 | 18 | M | Dahomey | Brownsville | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 875 | 3 | 2 | 18 | F | Dahomey | Dahomey | 1 | N | 249 | 10 | 11 | NA | 0 | 0 | 0 | NA | NA |
| 876 | 3 | 2 | 18 | M | Dahomey | Dahomey | 1 | N | 248 | 10 | 10 | NA | NA | NA | NA | 0 | 0 |
| 877 | 3 | 2 | 18 | F | Israel | Dahomey | 1 | N | 264 | 11 | 2 | NA | 0 | 0 | 0 | NA | NA |
| 878 | 3 | 2 | 18 | M | Dahomey | Israel | 1 | N | 257 | 10 | 19 | NA | NA | NA | NA | 0 | 0 |
| 879 | 3 | 2 | 18 | F | Sweden | Dahomey | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 880 | 3 | 2 | 18 | M | Dahomey | Sweden | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 881 | 3 | 2 | 18 | F | Barcelona | Israel | 1 | N | 252 | 10 | 14 | NA | 0 | 0 | 0 | NA | NA |
| 882 | 3 | 2 | 18 | M | Israel | Barcelona | 1 | N | 248 | 10 | 10 | NA | NA | NA | NA | 0 | 0 |
| 883 | 3 | 2 | 18 | F | Brownsville | Israel | 1 | P | 247 | 10 | 9 | NA | 0 | 0 | 0 | NA | NA |
| 884 | 3 | 2 | 18 | M | Israel | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 885 | 3 | 2 | 18 | F | Dahomey | Israel | 1 | N | 241 | 10 | 3 | 1.142 | 0 | 0 | 0 | NA | NA |
| 886 | 3 | 2 | 18 | M | Israel | Dahomey | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 56 |
| 887 | 3 | 2 | 18 | F | Israel | Israel | 1 | N | 247 | 10 | 9 | NA | 0 | 0 | 0 | NA | NA |
| 888 | 3 | 2 | 18 | M | Israel | Israel | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 889 | 3 | 2 | 18 | F | Sweden | Israel | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 890 | 3 | 2 | 18 | M | Israel | Sweden | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 891 | 3 | 2 | 18 | F | Barcelona | Sweden | 1 | N | 263 | 10 | 1 | 1.052 | 29 | 26 | 55 | NA | NA |
| 892 | 3 | 2 | 18 | M | Sweden | Barcelona | 1 | N | 263 | 10 | 1 | 1.004 | NA | NA | NA | 137 | 0 |
| 893 | 3 | 2 | 18 | F | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 894 | 3 | 2 | 18 | M | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 895 | 3 | 2 | 18 | F | Dahomey | Sweden | 1 | P | 264 | 11 | 2 | NA | 0 | 0 | 0 | NA | NA |
| 896 | 3 | 2 | 18 | M | Sweden | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 897 | 3 | 2 | 18 | F | Israel | Sweden | 1 | N | 255 | 10 | 17 | NA | 0 | 0 | 0 | NA | NA |
| 898 | 3 | 2 | 18 | M | Sweden | Israel | 1 | N | 247 | 10 | 9 | 1.086 | NA | NA | NA | 95 | 12 |
| 899 | 3 | 2 | 18 | F | Sweden | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 900 | 3 | 2 | 18 | M | Sweden | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 901 | 3 | 2 | 19 | F | Barcelona | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 902 | 3 | 2 | 19 | M | Barcelona | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 903 | 3 | 2 | 19 | F | Brownsville | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 904 | 3 | 2 | 19 | M | Barcelona | Brownsville | 1 | P | 287 | 12 | 1 | 0.913 | NA | NA | NA | 0 | 57 |
| 905 | 3 | 2 | 19 | F | Dahomey | Barcelona | 1 | P | 248 | 10 | 10 | 1.170 | 8 | 11 | 19 | NA | NA |
| 906 | 3 | 2 | 19 | M | Barcelona | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 907 | 3 | 2 | 19 | F | Israel | Barcelona | 1 | N | 261 | 10 | 23 | 1.252 | 51 | 42 | 93 | NA | NA |
| 908 | 3 | 2 | 19 | M | Barcelona | Israel | 1 | N | 251 | 10 | 13 | NA | NA | NA | NA | 92 | 7 |
| 909 | 3 | 2 | 19 | F | Sweden | Barcelona | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 910 | 3 | 2 | 19 | M | Barcelona | Sweden | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 911 | 3 | 2 | 19 | F | Barcelona | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 912 | 3 | 2 | 19 | M | Brownsville | Barcelona | 1 | P | 260 | 10 | 22 | 1.056 | NA | NA | NA | 67 | 11 |
| 913 | 3 | 2 | 19 | F | Brownsville | Brownsville | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 914 | 3 | 2 | 19 | M | Brownsville | Brownsville | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 915 | 3 | 2 | 19 | F | Dahomey | Brownsville | 1 | P | NA | NA | NA | 1.023 | 6 | 11 | 17 | NA | NA |
| 916 | 3 | 2 | 19 | M | Brownsville | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 917 | 3 | 2 | 19 | F | Israel | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 918 | 3 | 2 | 19 | M | Brownsville | Israel | 1 | P | 267 | 11 | 5 | 1.110 | NA | NA | NA | 50 | 18 |
| 919 | 3 | 2 | 19 | F | Sweden | Brownsville | 1 | P | 290 | 12 | 4 | 0.979 | 22 | 16 | 38 | NA | NA |
| 920 | 3 | 2 | 19 | M | Brownsville | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 921 | 3 | 2 | 19 | F | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 922 | 3 | 2 | 19 | M | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 923 | 3 | 2 | 19 | F | Brownsville | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 924 | 3 | 2 | 19 | M | Dahomey | Brownsville | 1 | P | 265 | 11 | 3 | 1.088 | NA | NA | NA | 0 | 21 |
| 925 | 3 | 2 | 19 | F | Dahomey | Dahomey | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 926 | 3 | 2 | 19 | M | Dahomey | Dahomey | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 927 | 3 | 2 | 19 | F | Israel | Dahomey | 1 | N | 290 | 12 | 4 | 0.955 | 37 | 23 | 60 | NA | NA |
| 928 | 3 | 2 | 19 | M | Dahomey | Israel | 1 | N | 256 | 10 | 18 | 1.051 | NA | NA | NA | 15 | 18 |
| 929 | 3 | 2 | 19 | F | Sweden | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 930 | 3 | 2 | 19 | M | Dahomey | Sweden | 1 | P | 259 | 10 | 21 | NA | NA | NA | NA | 2 | 25 |
| 931 | 3 | 2 | 19 | F | Barcelona | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 932 | 3 | 2 | 19 | M | Israel | Barcelona | 1 | P | 251 | 10 | 13 | 0.964 | NA | NA | NA | 69 | 0 |
| 933 | 3 | 2 | 19 | F | Brownsville | Israel | 1 | N | 267 | 11 | 5 | 1.126 | 29 | 27 | 56 | NA | NA |
| 934 | 3 | 2 | 19 | M | Israel | Brownsville | 1 | N | 285 | 11 | 23 | 1.005 | NA | NA | NA | 0 | 28 |
| 935 | 3 | 2 | 19 | F | Dahomey | Israel | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 936 | 3 | 2 | 19 | M | Israel | Dahomey | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 937 | 3 | 2 | 19 | F | Israel | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 938 | 3 | 2 | 19 | M | Israel | Israel | 1 | P | 255 | 10 | 17 | 1.122 | NA | NA | NA | 83 | 29 |
| 939 | 3 | 2 | 19 | F | Sweden | Israel | 1 | P | 262 | 10 | 0 | 0.991 | 17 | 21 | 38 | NA | NA |
| 940 | 3 | 2 | 19 | M | Israel | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 941 | 3 | 2 | 19 | F | Barcelona | Sweden | 1 | L | 262 | 10 | 0 | 1.204 | 31 | 39 | 70 | NA | NA |
| 942 | 3 | 2 | 19 | M | Sweden | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 943 | 3 | 2 | 19 | F | Brownsville | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 944 | 3 | 2 | 19 | M | Sweden | Brownsville | 1 | P | 281 | 11 | 19 | 0.983 | NA | NA | NA | 0 | 24 |
| 945 | 3 | 2 | 19 | F | Dahomey | Sweden | 1 | P | 260 | 10 | 22 | 1.133 | 9 | 14 | 23 | NA | NA |
| 946 | 3 | 2 | 19 | M | Sweden | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 947 | 3 | 2 | 19 | F | Israel | Sweden | 1 | P | 256 | 10 | 18 | 1.217 | 29 | 38 | 67 | NA | NA |
| 948 | 3 | 2 | 19 | M | Sweden | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 951 | 3 | 2 | 20 | F | Barcelona | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 952 | 3 | 2 | 20 | M | Barcelona | Barcelona | 1 | P | 283 | 11 | 21 | NA | NA | NA | NA | 0 | 24 |
| 961 | 3 | 2 | 20 | F | Barcelona | Brownsville | 1 | N | 268 | 11 | 6 | 1.019 | 0 | 0 | 0 | NA | NA |
| 962 | 3 | 2 | 20 | M | Brownsville | Barcelona | 1 | N | 262 | 10 | 0 | 0.965 | NA | NA | NA | 0 | 33 |
| 963 | 3 | 2 | 20 | F | Brownsville | Brownsville | 1 | N | 284 | 11 | 22 | NA | 21 | 24 | 45 | NA | NA |
| 964 | 3 | 2 | 20 | M | Brownsville | Brownsville | 1 | N | 250 | 10 | 12 | 1.086 | NA | NA | NA | 48 | 10 |
| 965 | 3 | 2 | 20 | F | Dahomey | Brownsville | 1 | P | 270 | 11 | 8 | 0.986 | 23 | 35 | 58 | NA | NA |
| 966 | 3 | 2 | 20 | M | Brownsville | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 967 | 3 | 2 | 20 | F | Israel | Brownsville | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 968 | 3 | 2 | 20 | M | Brownsville | Israel | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 969 | 3 | 2 | 20 | F | Sweden | Brownsville | 1 | P | 249 | 10 | 11 | NA | 0 | 0 | 0 | NA | NA |
| 970 | 3 | 2 | 20 | M | Brownsville | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 971 | 3 | 2 | 20 | F | Barcelona | Dahomey | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 972 | 3 | 2 | 20 | M | Dahomey | Barcelona | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 973 | 3 | 2 | 20 | F | Brownsville | Dahomey | 1 | N | 266 | 11 | 4 | 1.133 | 0 | 0 | 0 | NA | NA |
| 974 | 3 | 2 | 20 | M | Dahomey | Brownsville | 1 | N | 248 | 10 | 10 | NA | NA | NA | NA | 0 | 0 |
| 975 | 3 | 2 | 20 | F | Dahomey | Dahomey | 1 | N | 264 | 11 | 2 | 1.075 | 10 | 11 | 21 | NA | NA |
| 976 | 3 | 2 | 20 | M | Dahomey | Dahomey | 1 | N | 265 | 11 | 3 | 0.992 | NA | NA | NA | 0 | 12 |
| 977 | 3 | 2 | 20 | F | Israel | Dahomey | 1 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 978 | 3 | 2 | 20 | M | Dahomey | Israel | 1 | N | NA | NA | NA | 1.041 | NA | NA | NA | 89 | 18 |
| 979 | 3 | 2 | 20 | F | Sweden | Dahomey | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 980 | 3 | 2 | 20 | M | Dahomey | Sweden | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 981 | 3 | 2 | 20 | F | Barcelona | Israel | 1 | N | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 982 | 3 | 2 | 20 | M | Israel | Barcelona | 1 | N | NA | NA | NA | 0.883 | NA | NA | NA | 0 | 42 |
| 983 | 3 | 2 | 20 | F | Brownsville | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 984 | 3 | 2 | 20 | M | Israel | Brownsville | 1 | P | 297 | 12 | 11 | NA | NA | NA | NA | 0 | 0 |
| 985 | 3 | 2 | 20 | F | Dahomey | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 986 | 3 | 2 | 20 | M | Israel | Dahomey | 1 | L | 264 | 11 | 2 | NA | NA | NA | NA | 107 | 0 |
| 987 | 3 | 2 | 20 | F | Israel | Israel | 1 | N | 272 | 11 | 10 | 1.110 | 26 | 23 | 49 | NA | NA |
| 988 | 3 | 2 | 20 | M | Israel | Israel | 1 | N | 268 | 11 | 6 | 0.999 | NA | NA | NA | 47 | 1 |
| 989 | 3 | 2 | 20 | F | Sweden | Israel | 1 | L | 261 | 10 | 23 | 1.190 | 34 | 35 | 69 | NA | NA |
| 990 | 3 | 2 | 20 | M | Israel | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1001 | 4 | 1 | 21 | F | Barcelona | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1002 | 4 | 1 | 21 | M | Barcelona | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1003 | 4 | 1 | 21 | F | Brownsville | Barcelona | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1004 | 4 | 1 | 21 | M | Barcelona | Brownsville | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1005 | 4 | 1 | 21 | F | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1006 | 4 | 1 | 21 | M | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1007 | 4 | 1 | 21 | F | Israel | Barcelona | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1008 | 4 | 1 | 21 | M | Barcelona | Israel | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1009 | 4 | 1 | 21 | F | Sweden | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1010 | 4 | 1 | 21 | M | Barcelona | Sweden | 1 | P | 247 | 10 | 9 | 0.939 | NA | NA | NA | 0 | 49 |
| 1011 | 4 | 1 | 21 | F | Barcelona | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1012 | 4 | 1 | 21 | M | Brownsville | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1013 | 4 | 1 | 21 | F | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1014 | 4 | 1 | 21 | M | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1015 | 4 | 1 | 21 | F | Dahomey | Brownsville | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1016 | 4 | 1 | 21 | M | Brownsville | Dahomey | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1017 | 4 | 1 | 21 | F | Israel | Brownsville | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1018 | 4 | 1 | 21 | M | Brownsville | Israel | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1019 | 4 | 1 | 21 | F | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1020 | 4 | 1 | 21 | M | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1021 | 4 | 1 | 21 | F | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1022 | 4 | 1 | 21 | M | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1023 | 4 | 1 | 21 | F | Brownsville | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1024 | 4 | 1 | 21 | M | Dahomey | Brownsville | 1 | P | 246 | 10 | 8 | 0.879 | NA | NA | NA | 0 | 6 |
| 1025 | 4 | 1 | 21 | F | Dahomey | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1026 | 4 | 1 | 21 | M | Dahomey | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1027 | 4 | 1 | 21 | F | Israel | Dahomey | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1028 | 4 | 1 | 21 | M | Dahomey | Israel | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1029 | 4 | 1 | 21 | F | Sweden | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1030 | 4 | 1 | 21 | M | Dahomey | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1031 | 4 | 1 | 21 | F | Barcelona | Israel | 1 | N | 246 | 10 | 8 | 1.001 | 13 | 13 | 26 | NA | NA |
| 1032 | 4 | 1 | 21 | M | Israel | Barcelona | 1 | N | 248 | 10 | 10 | NA | NA | NA | NA | 0 | 0 |
| 1033 | 4 | 1 | 21 | F | Brownsville | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1034 | 4 | 1 | 21 | M | Israel | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1035 | 4 | 1 | 21 | F | Dahomey | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1036 | 4 | 1 | 21 | M | Israel | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1037 | 4 | 1 | 21 | F | Israel | Israel | 1 | P | 246 | 10 | 8 | NA | 0 | 0 | 0 | NA | NA |
| 1038 | 4 | 1 | 21 | M | Israel | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1039 | 4 | 1 | 21 | F | Sweden | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1040 | 4 | 1 | 21 | M | Israel | Sweden | 1 | L | NA | NA | NA | 1.059 | NA | NA | NA | 90 | 3 |
| 1041 | 4 | 1 | 21 | F | Barcelona | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1042 | 4 | 1 | 21 | M | Sweden | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1043 | 4 | 1 | 21 | F | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1044 | 4 | 1 | 21 | M | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1045 | 4 | 1 | 21 | F | Dahomey | Sweden | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1046 | 4 | 1 | 21 | M | Sweden | Dahomey | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1047 | 4 | 1 | 21 | F | Israel | Sweden | 1 | L | 247 | 10 | 9 | NA | 25 | 22 | 47 | NA | NA |
| 1048 | 4 | 1 | 21 | M | Sweden | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1049 | 4 | 1 | 21 | F | Sweden | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1050 | 4 | 1 | 21 | M | Sweden | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1051 | 4 | 1 | 22 | F | Barcelona | Barcelona | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1052 | 4 | 1 | 22 | M | Barcelona | Barcelona | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1053 | 4 | 1 | 22 | F | Brownsville | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1054 | 4 | 1 | 22 | M | Barcelona | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1055 | 4 | 1 | 22 | F | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1056 | 4 | 1 | 22 | M | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1057 | 4 | 1 | 22 | F | Israel | Barcelona | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1058 | 4 | 1 | 22 | M | Barcelona | Israel | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1059 | 4 | 1 | 22 | F | Sweden | Barcelona | 1 | N | 271 | 11 | 9 | NA | 0 | 0 | 0 | NA | NA |
| 1060 | 4 | 1 | 22 | M | Barcelona | Sweden | 1 | N | 271 | 11 | 9 | NA | NA | NA | NA | 0 | 0 |
| 1063 | 4 | 1 | 22 | F | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1064 | 4 | 1 | 22 | M | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1065 | 4 | 1 | 22 | F | Dahomey | Brownsville | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1066 | 4 | 1 | 22 | M | Brownsville | Dahomey | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1067 | 4 | 1 | 22 | F | Israel | Brownsville | 1 | L | 244 | 10 | 6 | NA | 0 | 0 | 0 | NA | NA |
| 1068 | 4 | 1 | 22 | M | Brownsville | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1069 | 4 | 1 | 22 | F | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1070 | 4 | 1 | 22 | M | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1071 | 4 | 1 | 22 | F | Barcelona | Dahomey | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1072 | 4 | 1 | 22 | M | Dahomey | Barcelona | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1073 | 4 | 1 | 22 | F | Brownsville | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1074 | 4 | 1 | 22 | M | Dahomey | Brownsville | 1 | L | 244 | 10 | 6 | 1.130 | NA | NA | NA | NA | NA |
| 1075 | 4 | 1 | 22 | F | Dahomey | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1076 | 4 | 1 | 22 | M | Dahomey | Dahomey | 1 | P | 240 | 10 | 2 | 1.055 | NA | NA | NA | 22 | 18 |
| 1077 | 4 | 1 | 22 | F | Israel | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1078 | 4 | 1 | 22 | M | Dahomey | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1079 | 4 | 1 | 22 | F | Sweden | Dahomey | 1 | L | NA | NA | NA | 0.870 | 21 | 14 | 35 | NA | NA |
| 1080 | 4 | 1 | 22 | M | Dahomey | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1081 | 4 | 1 | 22 | F | Barcelona | Israel | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1082 | 4 | 1 | 22 | M | Israel | Barcelona | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1083 | 4 | 1 | 22 | F | Brownsville | Israel | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1084 | 4 | 1 | 22 | M | Israel | Brownsville | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1085 | 4 | 1 | 22 | F | Dahomey | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1086 | 4 | 1 | 22 | M | Israel | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1087 | 4 | 1 | 22 | F | Israel | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1088 | 4 | 1 | 22 | M | Israel | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1089 | 4 | 1 | 22 | F | Sweden | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1090 | 4 | 1 | 22 | M | Israel | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1093 | 4 | 1 | 22 | F | Brownsville | Sweden | 1 | N | 253 | 10 | 15 | 0.982 | 20 | 22 | 42 | NA | NA |
| 1094 | 4 | 1 | 22 | M | Sweden | Brownsville | 1 | N | 263 | 10 | 1 | 0.897 | NA | NA | NA | 0 | 43 |
| 1095 | 4 | 1 | 22 | F | Dahomey | Sweden | 1 | L | 263 | 10 | 1 | 1.042 | 23 | 31 | 54 | NA | NA |
| 1096 | 4 | 1 | 22 | M | Sweden | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1097 | 4 | 1 | 22 | F | Israel | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1098 | 4 | 1 | 22 | M | Sweden | Israel | 1 | P | 264 | 11 | 2 | 0.890 | NA | NA | NA | NA | NA |
| 1099 | 4 | 1 | 22 | F | Sweden | Sweden | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1100 | 4 | 1 | 22 | M | Sweden | Sweden | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1101 | 4 | 1 | 23 | F | Barcelona | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1102 | 4 | 1 | 23 | M | Barcelona | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1103 | 4 | 1 | 23 | F | Brownsville | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1104 | 4 | 1 | 23 | M | Barcelona | Brownsville | 1 | P | 247 | 10 | 9 | NA | NA | NA | NA | 0 | 0 |
| 1105 | 4 | 1 | 23 | F | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1106 | 4 | 1 | 23 | M | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1107 | 4 | 1 | 23 | F | Israel | Barcelona | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1108 | 4 | 1 | 23 | M | Barcelona | Israel | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1109 | 4 | 1 | 23 | F | Sweden | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1110 | 4 | 1 | 23 | M | Barcelona | Sweden | 1 | P | 264 | 11 | 2 | 0.882 | NA | NA | NA | 0 | 32 |
| 1111 | 4 | 1 | 23 | F | Barcelona | Brownsville | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1112 | 4 | 1 | 23 | M | Brownsville | Barcelona | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1113 | 4 | 1 | 23 | F | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1114 | 4 | 1 | 23 | M | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1115 | 4 | 1 | 23 | F | Dahomey | Brownsville | 1 | N | 244 | 10 | 6 | NA | 0 | 0 | 0 | NA | NA |
| 1116 | 4 | 1 | 23 | M | Brownsville | Dahomey | 1 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1117 | 4 | 1 | 23 | F | Israel | Brownsville | 1 | L | NA | NA | NA | 1.125 | 32 | 25 | 57 | NA | NA |
| 1118 | 4 | 1 | 23 | M | Brownsville | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1119 | 4 | 1 | 23 | F | Sweden | Brownsville | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1120 | 4 | 1 | 23 | M | Brownsville | Sweden | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1121 | 4 | 1 | 23 | F | Barcelona | Dahomey | 1 | L | 263 | 10 | 1 | 0.955 | 21 | 26 | 47 | NA | NA |
| 1122 | 4 | 1 | 23 | M | Dahomey | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1123 | 4 | 1 | 23 | F | Brownsville | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1124 | 4 | 1 | 23 | M | Dahomey | Brownsville | 1 | P | 244 | 10 | 6 | NA | NA | NA | NA | 0 | 30 |
| 1125 | 4 | 1 | 23 | F | Dahomey | Dahomey | 1 | P | 253 | 10 | 15 | 1.062 | 19 | 24 | 43 | NA | NA |
| 1126 | 4 | 1 | 23 | M | Dahomey | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1127 | 4 | 1 | 23 | F | Israel | Dahomey | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1128 | 4 | 1 | 23 | M | Dahomey | Israel | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1129 | 4 | 1 | 23 | F | Sweden | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1130 | 4 | 1 | 23 | M | Dahomey | Sweden | 1 | P | 290 | 12 | 4 | NA | NA | NA | NA | 0 | 41 |
| 1131 | 4 | 1 | 23 | F | Barcelona | Israel | 1 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1132 | 4 | 1 | 23 | M | Israel | Barcelona | 1 | N | NA | NA | NA | 0.903 | NA | NA | NA | 0 | 80 |
| 1133 | 4 | 1 | 23 | F | Brownsville | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1134 | 4 | 1 | 23 | M | Israel | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1135 | 4 | 1 | 23 | F | Dahomey | Israel | 1 | L | 245 | 10 | 7 | 1.121 | 44 | 35 | 79 | NA | NA |
| 1136 | 4 | 1 | 23 | M | Israel | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1137 | 4 | 1 | 23 | F | Israel | Israel | 1 | N | 268 | 11 | 6 | 0.978 | 0 | 0 | 0 | NA | NA |
| 1138 | 4 | 1 | 23 | M | Israel | Israel | 1 | N | 265 | 11 | 3 | 0.880 | NA | NA | NA | 0 | 84 |
| 1139 | 4 | 1 | 23 | F | Sweden | Israel | 1 | N | 264 | 11 | 2 | 0.975 | 14 | 21 | 35 | NA | NA |
| 1140 | 4 | 1 | 23 | M | Israel | Sweden | 1 | N | 252 | 10 | 14 | 0.933 | NA | NA | NA | 21 | 61 |
| 1141 | 4 | 1 | 23 | F | Barcelona | Sweden | 1 | N | 267 | 11 | 5 | 1.044 | 35 | 34 | 69 | NA | NA |
| 1142 | 4 | 1 | 23 | M | Sweden | Barcelona | 1 | N | 247 | 10 | 9 | 1.002 | NA | NA | NA | 125 | 0 |
| 1143 | 4 | 1 | 23 | F | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1144 | 4 | 1 | 23 | M | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1145 | 4 | 1 | 23 | F | Dahomey | Sweden | 1 | N | 249 | 10 | 11 | 0.895 | 0 | 0 | 0 | NA | NA |
| 1146 | 4 | 1 | 23 | M | Sweden | Dahomey | 1 | N | 247 | 10 | 9 | NA | NA | NA | NA | 0 | 0 |
| 1147 | 4 | 1 | 23 | F | Israel | Sweden | 1 | P | 248 | 10 | 10 | NA | 0 | 0 | 0 | NA | NA |
| 1148 | 4 | 1 | 23 | M | Sweden | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1149 | 4 | 1 | 23 | F | Sweden | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1150 | 4 | 1 | 23 | M | Sweden | Sweden | 1 | P | 250 | 10 | 12 | 0.913 | NA | NA | NA | 0 | 0 |
| 1151 | 4 | 1 | 24 | F | Barcelona | Barcelona | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1152 | 4 | 1 | 24 | M | Barcelona | Barcelona | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1153 | 4 | 1 | 24 | F | Brownsville | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1154 | 4 | 1 | 24 | M | Barcelona | Brownsville | 1 | L | NA | NA | NA | 1.159 | NA | NA | NA | 0 | 58 |
| 1155 | 4 | 1 | 24 | F | Dahomey | Barcelona | 1 | P | 270 | 11 | 8 | NA | 0 | 0 | 0 | NA | NA |
| 1156 | 4 | 1 | 24 | M | Barcelona | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1157 | 4 | 1 | 24 | F | Israel | Barcelona | 1 | P | NA | NA | NA | 1.042 | 21 | 14 | 35 | NA | NA |
| 1158 | 4 | 1 | 24 | M | Barcelona | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1159 | 4 | 1 | 24 | F | Sweden | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1160 | 4 | 1 | 24 | M | Barcelona | Sweden | 1 | L | 299 | 12 | 13 | NA | NA | NA | NA | NA | NA |
| 1161 | 4 | 1 | 24 | F | Barcelona | Brownsville | 1 | P | NA | NA | NA | NA | 20 | 21 | 41 | NA | NA |
| 1162 | 4 | 1 | 24 | M | Brownsville | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1163 | 4 | 1 | 24 | F | Brownsville | Brownsville | 1 | L | NA | NA | NA | 1.014 | 19 | 7 | 26 | NA | NA |
| 1164 | 4 | 1 | 24 | M | Brownsville | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1171 | 4 | 1 | 24 | F | Barcelona | Dahomey | 1 | P | 245 | 10 | 7 | 1.084 | 26 | 33 | 59 | NA | NA |
| 1172 | 4 | 1 | 24 | M | Dahomey | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1173 | 4 | 1 | 24 | F | Brownsville | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1174 | 4 | 1 | 24 | M | Dahomey | Brownsville | 1 | L | NA | NA | NA | 0.995 | NA | NA | NA | 23 | 1 |
| 1175 | 4 | 1 | 24 | F | Dahomey | Dahomey | 1 | N | NA | NA | NA | 1.130 | 26 | 25 | 51 | NA | NA |
| 1176 | 4 | 1 | 24 | M | Dahomey | Dahomey | 1 | N | 264 | 11 | 2 | NA | NA | NA | NA | 0 | 40 |
| 1177 | 4 | 1 | 24 | F | Israel | Dahomey | 1 | P | 250 | 10 | 12 | 1.053 | 22 | 24 | 46 | NA | NA |
| 1178 | 4 | 1 | 24 | M | Dahomey | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1179 | 4 | 1 | 24 | F | Sweden | Dahomey | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1180 | 4 | 1 | 24 | M | Dahomey | Sweden | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1181 | 4 | 1 | 24 | F | Barcelona | Israel | 1 | P | 296 | 12 | 10 | 0.909 | 0 | 0 | 0 | NA | NA |
| 1182 | 4 | 1 | 24 | M | Israel | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1183 | 4 | 1 | 24 | F | Brownsville | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1184 | 4 | 1 | 24 | M | Israel | Brownsville | 1 | L | 249 | 10 | 11 | 1.007 | NA | NA | NA | 0 | 64 |
| 1185 | 4 | 1 | 24 | F | Dahomey | Israel | 1 | P | 276 | 11 | 14 | 0.992 | 17 | 17 | 34 | NA | NA |
| 1186 | 4 | 1 | 24 | M | Israel | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1187 | 4 | 1 | 24 | F | Israel | Israel | 1 | P | 252 | 10 | 14 | 0.975 | 20 | 24 | 44 | NA | NA |
| 1188 | 4 | 1 | 24 | M | Israel | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1189 | 4 | 1 | 24 | F | Sweden | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1190 | 4 | 1 | 24 | M | Israel | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1191 | 4 | 1 | 24 | F | Barcelona | Sweden | 1 | N | 263 | 10 | 1 | NA | 0 | 0 | 0 | NA | NA |
| 1192 | 4 | 1 | 24 | M | Sweden | Barcelona | 1 | N | 263 | 10 | 1 | NA | NA | NA | NA | 0 | 0 |
| 1193 | 4 | 1 | 24 | F | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1194 | 4 | 1 | 24 | M | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1195 | 4 | 1 | 24 | F | Dahomey | Sweden | 1 | N | 251 | 10 | 13 | 1.076 | 22 | 25 | 47 | NA | NA |
| 1196 | 4 | 1 | 24 | M | Sweden | Dahomey | 1 | N | 268 | 11 | 6 | 0.878 | NA | NA | NA | 0 | 68 |
| 1197 | 4 | 1 | 24 | F | Israel | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1198 | 4 | 1 | 24 | M | Sweden | Israel | 1 | P | 266 | 11 | 4 | 0.922 | NA | NA | NA | 0 | 18 |
| 1199 | 4 | 1 | 24 | F | Sweden | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1200 | 4 | 1 | 24 | M | Sweden | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1201 | 4 | 2 | 25 | F | Barcelona | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1202 | 4 | 2 | 25 | M | Barcelona | Barcelona | 1 | P | 251 | 10 | 13 | 0.918 | NA | NA | NA | 75 | 42 |
| 1203 | 4 | 2 | 25 | F | Brownsville | Barcelona | 1 | N | 264 | 11 | 2 | 1.016 | 25 | 18 | 43 | NA | NA |
| 1204 | 4 | 2 | 25 | M | Barcelona | Brownsville | 1 | N | 252 | 10 | 14 | NA | NA | NA | NA | 0 | 61 |
| 1205 | 4 | 2 | 25 | F | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1206 | 4 | 2 | 25 | M | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1207 | 4 | 2 | 25 | F | Israel | Barcelona | 1 | L | 247 | 10 | 9 | NA | 13 | 13 | 26 | NA | NA |
| 1208 | 4 | 2 | 25 | M | Barcelona | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1209 | 4 | 2 | 25 | F | Sweden | Barcelona | 1 | P | NA | NA | NA | 0.904 | 16 | 16 | 32 | NA | NA |
| 1210 | 4 | 2 | 25 | M | Barcelona | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1211 | 4 | 2 | 25 | F | Barcelona | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1212 | 4 | 2 | 25 | M | Brownsville | Barcelona | 1 | L | NA | NA | NA | 0.900 | NA | NA | NA | 0 | 82 |
| 1213 | 4 | 2 | 25 | F | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1214 | 4 | 2 | 25 | M | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1215 | 4 | 2 | 25 | F | Dahomey | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1216 | 4 | 2 | 25 | M | Brownsville | Dahomey | 1 | P | 269 | 11 | 7 | 0.896 | NA | NA | NA | 0 | 84 |
| 1217 | 4 | 2 | 25 | F | Israel | Brownsville | 1 | N | 274 | 11 | 12 | NA | 27 | 23 | 50 | NA | NA |
| 1218 | 4 | 2 | 25 | M | Brownsville | Israel | 1 | N | 265 | 11 | 3 | 0.931 | NA | NA | NA | 0 | 61 |
| 1219 | 4 | 2 | 25 | F | Sweden | Brownsville | 1 | P | NA | NA | NA | 1.073 | 0 | 0 | 0 | NA | NA |
| 1220 | 4 | 2 | 25 | M | Brownsville | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1221 | 4 | 2 | 25 | F | Barcelona | Dahomey | 1 | L | 252 | 10 | 14 | 1.014 | 0 | 0 | 0 | NA | NA |
| 1222 | 4 | 2 | 25 | M | Dahomey | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1223 | 4 | 2 | 25 | F | Brownsville | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1224 | 4 | 2 | 25 | M | Dahomey | Brownsville | 1 | L | 246 | 10 | 8 | 1.004 | NA | NA | NA | 0 | 89 |
| 1225 | 4 | 2 | 25 | F | Dahomey | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1226 | 4 | 2 | 25 | M | Dahomey | Dahomey | 1 | P | 244 | 10 | 6 | 1.037 | NA | NA | NA | 104 | 31 |
| 1227 | 4 | 2 | 25 | F | Israel | Dahomey | 1 | L | 246 | 10 | 8 | 1.060 | 23 | 15 | 38 | NA | NA |
| 1228 | 4 | 2 | 25 | M | Dahomey | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1229 | 4 | 2 | 25 | F | Sweden | Dahomey | 1 | L | 269 | 11 | 7 | 1.042 | 29 | 29 | 58 | NA | NA |
| 1230 | 4 | 2 | 25 | M | Dahomey | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1231 | 4 | 2 | 25 | F | Barcelona | Israel | 1 | N | 247 | 10 | 9 | NA | 0 | 0 | 0 | NA | NA |
| 1232 | 4 | 2 | 25 | M | Israel | Barcelona | 1 | N | 244 | 10 | 6 | 1.007 | NA | NA | NA | 0 | 68 |
| 1233 | 4 | 2 | 25 | F | Brownsville | Israel | 1 | P | 245 | 10 | 7 | 1.045 | 20 | 25 | 45 | NA | NA |
| 1234 | 4 | 2 | 25 | M | Israel | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1235 | 4 | 2 | 25 | F | Dahomey | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1236 | 4 | 2 | 25 | M | Israel | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1237 | 4 | 2 | 25 | F | Israel | Israel | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1238 | 4 | 2 | 25 | M | Israel | Israel | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1239 | 4 | 2 | 25 | F | Sweden | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1240 | 4 | 2 | 25 | M | Israel | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1243 | 4 | 2 | 25 | F | Brownsville | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1244 | 4 | 2 | 25 | M | Sweden | Brownsville | 1 | L | 245 | 10 | 7 | 1.080 | NA | NA | NA | 149 | 0 |
| 1245 | 4 | 2 | 25 | F | Dahomey | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1246 | 4 | 2 | 25 | M | Sweden | Dahomey | 1 | P | 244 | 10 | 6 | 1.021 | NA | NA | NA | 125 | 0 |
| 1247 | 4 | 2 | 25 | F | Israel | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1248 | 4 | 2 | 25 | M | Sweden | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1249 | 4 | 2 | 25 | F | Sweden | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1250 | 4 | 2 | 25 | M | Sweden | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1251 | 4 | 2 | 26 | F | Barcelona | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1252 | 4 | 2 | 26 | M | Barcelona | Barcelona | 1 | L | 247 | 10 | 9 | 1.073 | NA | NA | NA | 161 | 1 |
| 1253 | 4 | 2 | 26 | F | Brownsville | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1254 | 4 | 2 | 26 | M | Barcelona | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1255 | 4 | 2 | 26 | F | Dahomey | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1256 | 4 | 2 | 26 | M | Barcelona | Dahomey | 1 | P | 264 | 11 | 2 | NA | NA | NA | NA | 0 | 0 |
| 1257 | 4 | 2 | 26 | F | Israel | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1258 | 4 | 2 | 26 | M | Barcelona | Israel | 1 | L | 248 | 10 | 10 | 1.031 | NA | NA | NA | 0 | 30 |
| 1259 | 4 | 2 | 26 | F | Sweden | Barcelona | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1260 | 4 | 2 | 26 | M | Barcelona | Sweden | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1261 | 4 | 2 | 26 | F | Barcelona | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1262 | 4 | 2 | 26 | M | Brownsville | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1263 | 4 | 2 | 26 | F | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1264 | 4 | 2 | 26 | M | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1265 | 4 | 2 | 26 | F | Dahomey | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1266 | 4 | 2 | 26 | M | Brownsville | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1267 | 4 | 2 | 26 | F | Israel | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1268 | 4 | 2 | 26 | M | Brownsville | Israel | 1 | L | 248 | 10 | 10 | NA | NA | NA | NA | 0 | 5 |
| 1269 | 4 | 2 | 26 | F | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1270 | 4 | 2 | 26 | M | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1271 | 4 | 2 | 26 | F | Barcelona | Dahomey | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1272 | 4 | 2 | 26 | M | Dahomey | Barcelona | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1273 | 4 | 2 | 26 | F | Brownsville | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1274 | 4 | 2 | 26 | M | Dahomey | Brownsville | 1 | P | NA | NA | NA | 0.878 | NA | NA | NA | 0 | 83 |
| 1275 | 4 | 2 | 26 | F | Dahomey | Dahomey | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1276 | 4 | 2 | 26 | M | Dahomey | Dahomey | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1277 | 4 | 2 | 26 | F | Israel | Dahomey | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1278 | 4 | 2 | 26 | M | Dahomey | Israel | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1279 | 4 | 2 | 26 | F | Sweden | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1280 | 4 | 2 | 26 | M | Dahomey | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1281 | 4 | 2 | 26 | F | Barcelona | Israel | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1282 | 4 | 2 | 26 | M | Israel | Barcelona | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1283 | 4 | 2 | 26 | F | Brownsville | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1284 | 4 | 2 | 26 | M | Israel | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1285 | 4 | 2 | 26 | F | Dahomey | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1286 | 4 | 2 | 26 | M | Israel | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1287 | 4 | 2 | 26 | F | Israel | Israel | 1 | N | NA | NA | NA | 1.045 | 34 | 24 | 58 | NA | NA |
| 1288 | 4 | 2 | 26 | M | Israel | Israel | 1 | N | 246 | 10 | 8 | NA | NA | NA | NA | 0 | 0 |
| 1289 | 4 | 2 | 26 | F | Sweden | Israel | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1290 | 4 | 2 | 26 | M | Israel | Sweden | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1291 | 4 | 2 | 26 | F | Barcelona | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1292 | 4 | 2 | 26 | M | Sweden | Barcelona | 1 | L | 266 | 11 | 4 | 1.047 | NA | NA | NA | 75 | 7 |
| 1295 | 4 | 2 | 26 | F | Dahomey | Sweden | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1296 | 4 | 2 | 26 | M | Sweden | Dahomey | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1297 | 4 | 2 | 26 | F | Israel | Sweden | 1 | L | 249 | 10 | 11 | 1.024 | 23 | 25 | 48 | NA | NA |
| 1298 | 4 | 2 | 26 | M | Sweden | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1299 | 4 | 2 | 26 | F | Sweden | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1300 | 4 | 2 | 26 | M | Sweden | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1301 | 4 | 2 | 27 | F | Barcelona | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1302 | 4 | 2 | 27 | M | Barcelona | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1303 | 4 | 2 | 27 | F | Brownsville | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1304 | 4 | 2 | 27 | M | Barcelona | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1305 | 4 | 2 | 27 | F | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1306 | 4 | 2 | 27 | M | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1307 | 4 | 2 | 27 | F | Israel | Barcelona | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1308 | 4 | 2 | 27 | M | Barcelona | Israel | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1309 | 4 | 2 | 27 | F | Sweden | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1310 | 4 | 2 | 27 | M | Barcelona | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1311 | 4 | 2 | 27 | F | Barcelona | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1312 | 4 | 2 | 27 | M | Brownsville | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1313 | 4 | 2 | 27 | F | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1314 | 4 | 2 | 27 | M | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1315 | 4 | 2 | 27 | F | Dahomey | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1316 | 4 | 2 | 27 | M | Brownsville | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1317 | 4 | 2 | 27 | F | Israel | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1318 | 4 | 2 | 27 | M | Brownsville | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1319 | 4 | 2 | 27 | F | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1320 | 4 | 2 | 27 | M | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1321 | 4 | 2 | 27 | F | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1322 | 4 | 2 | 27 | M | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1323 | 4 | 2 | 27 | F | Brownsville | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1324 | 4 | 2 | 27 | M | Dahomey | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1325 | 4 | 2 | 27 | F | Dahomey | Dahomey | 1 | P | 263 | 10 | 1 | 0.967 | 20 | 21 | 41 | NA | NA |
| 1326 | 4 | 2 | 27 | M | Dahomey | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1327 | 4 | 2 | 27 | F | Israel | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1328 | 4 | 2 | 27 | M | Dahomey | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1329 | 4 | 2 | 27 | F | Sweden | Dahomey | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1330 | 4 | 2 | 27 | M | Dahomey | Sweden | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1331 | 4 | 2 | 27 | F | Barcelona | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1332 | 4 | 2 | 27 | M | Israel | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1333 | 4 | 2 | 27 | F | Brownsville | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1334 | 4 | 2 | 27 | M | Israel | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1335 | 4 | 2 | 27 | F | Dahomey | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1336 | 4 | 2 | 27 | M | Israel | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1337 | 4 | 2 | 27 | F | Israel | Israel | 1 | P | 250 | 10 | 12 | 1.038 | 24 | 16 | 40 | NA | NA |
| 1338 | 4 | 2 | 27 | M | Israel | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1339 | 4 | 2 | 27 | F | Sweden | Israel | 1 | L | 268 | 11 | 6 | NA | 0 | 0 | 0 | NA | NA |
| 1340 | 4 | 2 | 27 | M | Israel | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1341 | 4 | 2 | 27 | F | Barcelona | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1342 | 4 | 2 | 27 | M | Sweden | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1343 | 4 | 2 | 27 | F | Brownsville | Sweden | 1 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1344 | 4 | 2 | 27 | M | Sweden | Brownsville | 1 | N | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 1345 | 4 | 2 | 27 | F | Dahomey | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1346 | 4 | 2 | 27 | M | Sweden | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1347 | 4 | 2 | 27 | F | Israel | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1348 | 4 | 2 | 27 | M | Sweden | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1349 | 4 | 2 | 27 | F | Sweden | Sweden | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1350 | 4 | 2 | 27 | M | Sweden | Sweden | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1351 | 4 | 2 | 28 | F | Barcelona | Barcelona | 1 | L | 250 | 10 | 12 | NA | 0 | 0 | 0 | NA | NA |
| 1352 | 4 | 2 | 28 | M | Barcelona | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1353 | 4 | 2 | 28 | F | Brownsville | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1354 | 4 | 2 | 28 | M | Barcelona | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1355 | 4 | 2 | 28 | F | Dahomey | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1356 | 4 | 2 | 28 | M | Barcelona | Dahomey | 1 | P | 250 | 10 | 12 | 1.077 | NA | NA | NA | 103 | 0 |
| 1357 | 4 | 2 | 28 | F | Israel | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1358 | 4 | 2 | 28 | M | Barcelona | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1359 | 4 | 2 | 28 | F | Sweden | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1360 | 4 | 2 | 28 | M | Barcelona | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1361 | 4 | 2 | 28 | F | Barcelona | Brownsville | 1 | L | 264 | 11 | 2 | 0.963 | 11 | 6 | 17 | NA | NA |
| 1362 | 4 | 2 | 28 | M | Brownsville | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1363 | 4 | 2 | 28 | F | Brownsville | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1364 | 4 | 2 | 28 | M | Brownsville | Brownsville | 1 | L | 265 | 11 | 3 | 0.841 | NA | NA | NA | 0 | 0 |
| 1365 | 4 | 2 | 28 | F | Dahomey | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1366 | 4 | 2 | 28 | M | Brownsville | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1367 | 4 | 2 | 28 | F | Israel | Brownsville | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1368 | 4 | 2 | 28 | M | Brownsville | Israel | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1369 | 4 | 2 | 28 | F | Sweden | Brownsville | 1 | L | NA | NA | NA | 1.005 | 4 | 3 | 7 | NA | NA |
| 1370 | 4 | 2 | 28 | M | Brownsville | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1371 | 4 | 2 | 28 | F | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1372 | 4 | 2 | 28 | M | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1373 | 4 | 2 | 28 | F | Brownsville | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1374 | 4 | 2 | 28 | M | Dahomey | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1375 | 4 | 2 | 28 | F | Dahomey | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1376 | 4 | 2 | 28 | M | Dahomey | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1377 | 4 | 2 | 28 | F | Israel | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1378 | 4 | 2 | 28 | M | Dahomey | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1381 | 4 | 2 | 28 | F | Barcelona | Israel | 1 | N | 275 | 11 | 13 | NA | 0 | 0 | 0 | NA | NA |
| 1382 | 4 | 2 | 28 | M | Israel | Barcelona | 1 | N | 251 | 10 | 13 | 1.061 | NA | NA | NA | 33 | 0 |
| 1383 | 4 | 2 | 28 | F | Brownsville | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1384 | 4 | 2 | 28 | M | Israel | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1385 | 4 | 2 | 28 | F | Dahomey | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1386 | 4 | 2 | 28 | M | Israel | Dahomey | 1 | L | NA | NA | NA | 0.957 | NA | NA | NA | 146 | 1 |
| 1387 | 4 | 2 | 28 | F | Israel | Israel | 1 | L | 248 | 10 | 10 | NA | 0 | 0 | 0 | NA | NA |
| 1388 | 4 | 2 | 28 | M | Israel | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1389 | 4 | 2 | 28 | F | Sweden | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1390 | 4 | 2 | 28 | M | Israel | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1391 | 4 | 2 | 28 | F | Barcelona | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1392 | 4 | 2 | 28 | M | Sweden | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1393 | 4 | 2 | 28 | F | Brownsville | Sweden | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1394 | 4 | 2 | 28 | M | Sweden | Brownsville | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1395 | 4 | 2 | 28 | F | Dahomey | Sweden | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1396 | 4 | 2 | 28 | M | Sweden | Dahomey | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1397 | 4 | 2 | 28 | F | Israel | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1398 | 4 | 2 | 28 | M | Sweden | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1399 | 4 | 2 | 28 | F | Sweden | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1400 | 4 | 2 | 28 | M | Sweden | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1401 | 5 | 1 | 29 | F | Barcelona | Barcelona | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1402 | 5 | 1 | 29 | M | Barcelona | Barcelona | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1403 | 5 | 1 | 29 | F | Brownsville | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1404 | 5 | 1 | 29 | M | Barcelona | Brownsville | 1 | L | 286 | 12 | 0 | 0.751 | NA | NA | NA | 0 | 46 |
| 1405 | 5 | 1 | 29 | F | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1406 | 5 | 1 | 29 | M | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1407 | 5 | 1 | 29 | F | Israel | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1408 | 5 | 1 | 29 | M | Barcelona | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1409 | 5 | 1 | 29 | F | Sweden | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1410 | 5 | 1 | 29 | M | Barcelona | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1411 | 5 | 1 | 29 | F | Barcelona | Brownsville | 1 | L | 267 | 11 | 5 | NA | NA | NA | NA | NA | NA |
| 1412 | 5 | 1 | 29 | M | Brownsville | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1413 | 5 | 1 | 29 | F | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1414 | 5 | 1 | 29 | M | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1415 | 5 | 1 | 29 | F | Dahomey | Brownsville | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1416 | 5 | 1 | 29 | M | Brownsville | Dahomey | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1417 | 5 | 1 | 29 | F | Israel | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1418 | 5 | 1 | 29 | M | Brownsville | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1419 | 5 | 1 | 29 | F | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1420 | 5 | 1 | 29 | M | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1421 | 5 | 1 | 29 | F | Barcelona | Dahomey | 1 | P | 280 | 11 | 18 | NA | 0 | 0 | 0 | NA | NA |
| 1422 | 5 | 1 | 29 | M | Dahomey | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1423 | 5 | 1 | 29 | F | Brownsville | Dahomey | 1 | P | 284 | 11 | 22 | NA | 1 | 0 | 1 | NA | NA |
| 1424 | 5 | 1 | 29 | M | Dahomey | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1425 | 5 | 1 | 29 | F | Dahomey | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1426 | 5 | 1 | 29 | M | Dahomey | Dahomey | 1 | L | 237 | 9 | 23 | 0.963 | NA | NA | NA | 0 | 14 |
| 1427 | 5 | 1 | 29 | F | Israel | Dahomey | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1428 | 5 | 1 | 29 | M | Dahomey | Israel | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1429 | 5 | 1 | 29 | F | Sweden | Dahomey | 1 | L | 268 | 11 | 6 | 1.071 | 25 | 20 | 45 | NA | NA |
| 1430 | 5 | 1 | 29 | M | Dahomey | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1431 | 5 | 1 | 29 | F | Barcelona | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1432 | 5 | 1 | 29 | M | Israel | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1433 | 5 | 1 | 29 | F | Brownsville | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1434 | 5 | 1 | 29 | M | Israel | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1435 | 5 | 1 | 29 | F | Dahomey | Israel | 1 | L | 257 | 10 | 19 | 1.016 | 24 | 30 | 54 | NA | NA |
| 1436 | 5 | 1 | 29 | M | Israel | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1437 | 5 | 1 | 29 | F | Israel | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1438 | 5 | 1 | 29 | M | Israel | Israel | 1 | L | 278 | 11 | 16 | 0.862 | NA | NA | NA | 0 | 47 |
| 1439 | 5 | 1 | 29 | F | Sweden | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1440 | 5 | 1 | 29 | M | Israel | Sweden | 1 | L | 263 | 10 | 1 | 1.011 | NA | NA | NA | 0 | 27 |
| 1441 | 5 | 1 | 29 | F | Barcelona | Sweden | 1 | P | 281 | 11 | 19 | 0.901 | 5 | 5 | 10 | NA | NA |
| 1442 | 5 | 1 | 29 | M | Sweden | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1443 | 5 | 1 | 29 | F | Brownsville | Sweden | 1 | N | 283 | 11 | 21 | 0.918 | 17 | 16 | 33 | NA | NA |
| 1444 | 5 | 1 | 29 | M | Sweden | Brownsville | 1 | N | 278 | 11 | 16 | 0.890 | NA | NA | NA | 0 | 27 |
| 1445 | 5 | 1 | 29 | F | Dahomey | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1446 | 5 | 1 | 29 | M | Sweden | Dahomey | 1 | L | 270 | 11 | 8 | 1.036 | NA | NA | NA | 23 | 9 |
| 1447 | 5 | 1 | 29 | F | Israel | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1448 | 5 | 1 | 29 | M | Sweden | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1449 | 5 | 1 | 29 | F | Sweden | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1450 | 5 | 1 | 29 | M | Sweden | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1451 | 5 | 1 | 30 | F | Barcelona | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1452 | 5 | 1 | 30 | M | Barcelona | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1453 | 5 | 1 | 30 | F | Brownsville | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1454 | 5 | 1 | 30 | M | Barcelona | Brownsville | 1 | L | 258 | 10 | 20 | 1.038 | NA | NA | NA | 0 | 65 |
| 1455 | 5 | 1 | 30 | F | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1456 | 5 | 1 | 30 | M | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1457 | 5 | 1 | 30 | F | Israel | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1458 | 5 | 1 | 30 | M | Barcelona | Israel | 1 | L | 264 | 11 | 2 | 0.998 | NA | NA | NA | 0 | 18 |
| 1459 | 5 | 1 | 30 | F | Sweden | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1460 | 5 | 1 | 30 | M | Barcelona | Sweden | 1 | L | 267 | 11 | 5 | NA | NA | NA | NA | 0 | 20 |
| 1463 | 5 | 1 | 30 | F | Brownsville | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1464 | 5 | 1 | 30 | M | Brownsville | Brownsville | 1 | P | 279 | 11 | 17 | 0.907 | NA | NA | NA | 0 | 56 |
| 1465 | 5 | 1 | 30 | F | Dahomey | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1466 | 5 | 1 | 30 | M | Brownsville | Dahomey | 1 | L | 272 | 11 | 10 | 0.944 | NA | NA | NA | 0 | 12 |
| 1467 | 5 | 1 | 30 | F | Israel | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1468 | 5 | 1 | 30 | M | Brownsville | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1469 | 5 | 1 | 30 | F | Sweden | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1470 | 5 | 1 | 30 | M | Brownsville | Sweden | 1 | L | 243 | 10 | 5 | NA | NA | NA | NA | 0 | 0 |
| 1471 | 5 | 1 | 30 | F | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1472 | 5 | 1 | 30 | M | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1473 | 5 | 1 | 30 | F | Brownsville | Dahomey | 1 | N | 280 | 11 | 18 | NA | 1 | 1 | 2 | NA | NA |
| 1474 | 5 | 1 | 30 | M | Dahomey | Brownsville | 1 | N | 287 | 12 | 1 | NA | NA | NA | NA | 0 | 86 |
| 1475 | 5 | 1 | 30 | F | Dahomey | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1476 | 5 | 1 | 30 | M | Dahomey | Dahomey | 1 | P | 249 | 10 | 11 | 1.007 | NA | NA | NA | 0 | 15 |
| 1477 | 5 | 1 | 30 | F | Israel | Dahomey | 1 | L | 251 | 10 | 13 | 1.113 | 34 | 30 | 64 | NA | NA |
| 1478 | 5 | 1 | 30 | M | Dahomey | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1479 | 5 | 1 | 30 | F | Sweden | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1480 | 5 | 1 | 30 | M | Dahomey | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1481 | 5 | 1 | 30 | F | Barcelona | Israel | 1 | L | 264 | 11 | 2 | 0.979 | 16 | 18 | 34 | NA | NA |
| 1482 | 5 | 1 | 30 | M | Israel | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1483 | 5 | 1 | 30 | F | Brownsville | Israel | 1 | L | 279 | 11 | 17 | NA | 0 | 0 | 0 | NA | NA |
| 1484 | 5 | 1 | 30 | M | Israel | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1487 | 5 | 1 | 30 | F | Israel | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1488 | 5 | 1 | 30 | M | Israel | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1489 | 5 | 1 | 30 | F | Sweden | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1490 | 5 | 1 | 30 | M | Israel | Sweden | 1 | L | 245 | 10 | 7 | 1.140 | NA | NA | NA | 120 | 8 |
| 1491 | 5 | 1 | 30 | F | Barcelona | Sweden | 1 | L | 267 | 11 | 5 | 1.045 | 17 | 21 | 38 | NA | NA |
| 1492 | 5 | 1 | 30 | M | Sweden | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1493 | 5 | 1 | 30 | F | Brownsville | Sweden | 1 | L | 239 | 9 | 1 | 1.143 | 19 | 28 | 47 | NA | NA |
| 1494 | 5 | 1 | 30 | M | Sweden | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1495 | 5 | 1 | 30 | F | Dahomey | Sweden | 1 | N | 282 | 11 | 20 | 0.976 | 5 | 9 | 14 | NA | NA |
| 1496 | 5 | 1 | 30 | M | Sweden | Dahomey | 1 | N | 252 | 10 | 14 | 1.047 | NA | NA | NA | 21 | 7 |
| 1497 | 5 | 1 | 30 | F | Israel | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1498 | 5 | 1 | 30 | M | Sweden | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1499 | 5 | 1 | 30 | F | Sweden | Sweden | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1500 | 5 | 1 | 30 | M | Sweden | Sweden | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1501 | 5 | 2 | 31 | F | Barcelona | Barcelona | 1 | L | 240 | 10 | 2 | 1.053 | 10 | 18 | 28 | NA | NA |
| 1502 | 5 | 2 | 31 | M | Barcelona | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1503 | 5 | 2 | 31 | F | Brownsville | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1504 | 5 | 2 | 31 | M | Barcelona | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1505 | 5 | 2 | 31 | F | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1506 | 5 | 2 | 31 | M | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1507 | 5 | 2 | 31 | F | Israel | Barcelona | 1 | L | 260 | 10 | 22 | NA | 28 | 24 | 52 | NA | NA |
| 1508 | 5 | 2 | 31 | M | Barcelona | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1509 | 5 | 2 | 31 | F | Sweden | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1510 | 5 | 2 | 31 | M | Barcelona | Sweden | 1 | L | 250 | 10 | 12 | 1.024 | NA | NA | NA | 10 | 0 |
| 1511 | 5 | 2 | 31 | F | Barcelona | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1512 | 5 | 2 | 31 | M | Brownsville | Barcelona | 1 | L | 257 | 10 | 19 | NA | NA | NA | NA | 0 | 0 |
| 1513 | 5 | 2 | 31 | F | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1514 | 5 | 2 | 31 | M | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1515 | 5 | 2 | 31 | F | Dahomey | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1516 | 5 | 2 | 31 | M | Brownsville | Dahomey | 1 | L | 259 | 10 | 21 | 1.084 | NA | NA | NA | 0 | 0 |
| 1517 | 5 | 2 | 31 | F | Israel | Brownsville | 1 | L | 259 | 10 | 21 | NA | 0 | 0 | 0 | NA | NA |
| 1518 | 5 | 2 | 31 | M | Brownsville | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1519 | 5 | 2 | 31 | F | Sweden | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1520 | 5 | 2 | 31 | M | Brownsville | Sweden | 1 | L | 259 | 10 | 21 | 1.042 | NA | NA | NA | 0 | 88 |
| 1521 | 5 | 2 | 31 | F | Barcelona | Dahomey | 1 | P | 288 | 12 | 2 | 0.869 | 0 | 0 | 0 | NA | NA |
| 1522 | 5 | 2 | 31 | M | Dahomey | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1523 | 5 | 2 | 31 | F | Brownsville | Dahomey | 1 | L | 267 | 11 | 5 | 1.209 | 24 | 38 | 62 | NA | NA |
| 1524 | 5 | 2 | 31 | M | Dahomey | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1525 | 5 | 2 | 31 | F | Dahomey | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1526 | 5 | 2 | 31 | M | Dahomey | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1527 | 5 | 2 | 31 | F | Israel | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1528 | 5 | 2 | 31 | M | Dahomey | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1529 | 5 | 2 | 31 | F | Sweden | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1530 | 5 | 2 | 31 | M | Dahomey | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1531 | 5 | 2 | 31 | F | Barcelona | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1532 | 5 | 2 | 31 | M | Israel | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1533 | 5 | 2 | 31 | F | Brownsville | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1534 | 5 | 2 | 31 | M | Israel | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1535 | 5 | 2 | 31 | F | Dahomey | Israel | 1 | L | 245 | 10 | 7 | 1.178 | 37 | 29 | 66 | NA | NA |
| 1536 | 5 | 2 | 31 | M | Israel | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1537 | 5 | 2 | 31 | F | Israel | Israel | 1 | L | 247 | 10 | 9 | 1.221 | 38 | 25 | 63 | NA | NA |
| 1538 | 5 | 2 | 31 | M | Israel | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1539 | 5 | 2 | 31 | F | Sweden | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1540 | 5 | 2 | 31 | M | Israel | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1541 | 5 | 2 | 31 | F | Barcelona | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1542 | 5 | 2 | 31 | M | Sweden | Barcelona | 1 | L | 242 | 10 | 4 | 1.040 | NA | NA | NA | 12 | 64 |
| 1543 | 5 | 2 | 31 | F | Brownsville | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1544 | 5 | 2 | 31 | M | Sweden | Brownsville | 1 | L | 232 | 9 | 18 | NA | NA | NA | NA | 50 | 6 |
| 1547 | 5 | 2 | 31 | F | Israel | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1548 | 5 | 2 | 31 | M | Sweden | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1549 | 5 | 2 | 31 | F | Sweden | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1550 | 5 | 2 | 31 | M | Sweden | Sweden | 1 | L | 262 | 10 | 0 | 0.971 | NA | NA | NA | 0 | 12 |
| 1551 | 5 | 2 | 32 | F | Barcelona | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1552 | 5 | 2 | 32 | M | Barcelona | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1553 | 5 | 2 | 32 | F | Brownsville | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1554 | 5 | 2 | 32 | M | Barcelona | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1555 | 5 | 2 | 32 | F | Dahomey | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1556 | 5 | 2 | 32 | M | Barcelona | Dahomey | 1 | L | 263 | 10 | 1 | 0.978 | NA | NA | NA | 116 | 37 |
| 1557 | 5 | 2 | 32 | F | Israel | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1558 | 5 | 2 | 32 | M | Barcelona | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1559 | 5 | 2 | 32 | F | Sweden | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1560 | 5 | 2 | 32 | M | Barcelona | Sweden | 1 | L | 270 | 11 | 8 | 1.011 | NA | NA | NA | 16 | 7 |
| 1561 | 5 | 2 | 32 | F | Barcelona | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1562 | 5 | 2 | 32 | M | Brownsville | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1563 | 5 | 2 | 32 | F | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1564 | 5 | 2 | 32 | M | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1565 | 5 | 2 | 32 | F | Dahomey | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1566 | 5 | 2 | 32 | M | Brownsville | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1567 | 5 | 2 | 32 | F | Israel | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1568 | 5 | 2 | 32 | M | Brownsville | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1569 | 5 | 2 | 32 | F | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1570 | 5 | 2 | 32 | M | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1573 | 5 | 2 | 32 | F | Brownsville | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1574 | 5 | 2 | 32 | M | Dahomey | Brownsville | 1 | P | 275 | 11 | 13 | 0.823 | NA | NA | NA | 0 | 79 |
| 1575 | 5 | 2 | 32 | F | Dahomey | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1576 | 5 | 2 | 32 | M | Dahomey | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1577 | 5 | 2 | 32 | F | Israel | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1578 | 5 | 2 | 32 | M | Dahomey | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1579 | 5 | 2 | 32 | F | Sweden | Dahomey | 1 | N | 253 | 10 | 15 | 0.964 | 2 | 6 | 8 | NA | NA |
| 1580 | 5 | 2 | 32 | M | Dahomey | Sweden | 1 | N | 273 | 11 | 11 | 0.902 | NA | NA | NA | 0 | 63 |
| 1581 | 5 | 2 | 32 | F | Barcelona | Israel | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1582 | 5 | 2 | 32 | M | Israel | Barcelona | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1583 | 5 | 2 | 32 | F | Brownsville | Israel | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1584 | 5 | 2 | 32 | M | Israel | Brownsville | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1585 | 5 | 2 | 32 | F | Dahomey | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1586 | 5 | 2 | 32 | M | Israel | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1587 | 5 | 2 | 32 | F | Israel | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1588 | 5 | 2 | 32 | M | Israel | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1589 | 5 | 2 | 32 | F | Sweden | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1590 | 5 | 2 | 32 | M | Israel | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1591 | 5 | 2 | 32 | F | Barcelona | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1592 | 5 | 2 | 32 | M | Sweden | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1595 | 5 | 2 | 32 | F | Dahomey | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1596 | 5 | 2 | 32 | M | Sweden | Dahomey | 1 | L | 246 | 10 | 8 | NA | NA | NA | NA | 69 | 0 |
| 1597 | 5 | 2 | 32 | F | Israel | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1598 | 5 | 2 | 32 | M | Sweden | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1599 | 5 | 2 | 32 | F | Sweden | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1600 | 5 | 2 | 32 | M | Sweden | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1601 | 5 | 1 | 33 | F | Barcelona | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1602 | 5 | 1 | 33 | M | Barcelona | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1603 | 5 | 1 | 33 | F | Brownsville | Barcelona | 1 | L | 280 | 11 | 18 | NA | 0 | 0 | 0 | NA | NA |
| 1604 | 5 | 1 | 33 | M | Barcelona | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1605 | 5 | 1 | 33 | F | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1606 | 5 | 1 | 33 | M | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1607 | 5 | 1 | 33 | F | Israel | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1608 | 5 | 1 | 33 | M | Barcelona | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1609 | 5 | 1 | 33 | F | Sweden | Barcelona | 1 | L | 286 | 12 | 0 | 0.847 | 15 | 14 | 29 | NA | NA |
| 1610 | 5 | 1 | 33 | M | Barcelona | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1611 | 5 | 1 | 33 | F | Barcelona | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1612 | 5 | 1 | 33 | M | Brownsville | Barcelona | 1 | L | 268 | 11 | 6 | 0.905 | NA | NA | NA | 0 | 11 |
| 1613 | 5 | 1 | 33 | F | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1614 | 5 | 1 | 33 | M | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1615 | 5 | 1 | 33 | F | Dahomey | Brownsville | 1 | L | 241 | 10 | 3 | 1.187 | 28 | 21 | 49 | NA | NA |
| 1616 | 5 | 1 | 33 | M | Brownsville | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1617 | 5 | 1 | 33 | F | Israel | Brownsville | 1 | L | 272 | 11 | 10 | 0.926 | 16 | 22 | 38 | NA | NA |
| 1618 | 5 | 1 | 33 | M | Brownsville | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1619 | 5 | 1 | 33 | F | Sweden | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1620 | 5 | 1 | 33 | M | Brownsville | Sweden | 1 | L | 260 | 10 | 22 | 1.010 | NA | NA | NA | 0 | 41 |
| 1621 | 5 | 1 | 33 | F | Barcelona | Dahomey | 1 | N | 263 | 10 | 1 | 0.979 | 20 | 20 | 40 | NA | NA |
| 1622 | 5 | 1 | 33 | M | Dahomey | Barcelona | 1 | N | 259 | 10 | 21 | 0.988 | NA | NA | NA | 174 | 0 |
| 1623 | 5 | 1 | 33 | F | Brownsville | Dahomey | 1 | P | 246 | 10 | 8 | 1.078 | 14 | 14 | 28 | NA | NA |
| 1624 | 5 | 1 | 33 | M | Dahomey | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1625 | 5 | 1 | 33 | F | Dahomey | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1626 | 5 | 1 | 33 | M | Dahomey | Dahomey | 1 | L | 246 | 10 | 8 | 0.989 | NA | NA | NA | 56 | 0 |
| 1627 | 5 | 1 | 33 | F | Israel | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1628 | 5 | 1 | 33 | M | Dahomey | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1629 | 5 | 1 | 33 | F | Sweden | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1630 | 5 | 1 | 33 | M | Dahomey | Sweden | 1 | L | 246 | 10 | 8 | 0.976 | NA | NA | NA | 116 | 9 |
| 1631 | 5 | 1 | 33 | F | Barcelona | Israel | 1 | L | 253 | 10 | 15 | 1.068 | 20 | 26 | 46 | NA | NA |
| 1632 | 5 | 1 | 33 | M | Israel | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1633 | 5 | 1 | 33 | F | Brownsville | Israel | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1634 | 5 | 1 | 33 | M | Israel | Brownsville | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1635 | 5 | 1 | 33 | F | Dahomey | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1636 | 5 | 1 | 33 | M | Israel | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1637 | 5 | 1 | 33 | F | Israel | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1638 | 5 | 1 | 33 | M | Israel | Israel | 1 | P | 280 | 11 | 18 | NA | NA | NA | NA | 0 | 0 |
| 1639 | 5 | 1 | 33 | F | Sweden | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1640 | 5 | 1 | 33 | M | Israel | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1641 | 5 | 1 | 33 | F | Barcelona | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1642 | 5 | 1 | 33 | M | Sweden | Barcelona | 1 | L | 274 | 11 | 12 | 0.912 | NA | NA | NA | 9 | 0 |
| 1643 | 5 | 1 | 33 | F | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1644 | 5 | 1 | 33 | M | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1645 | 5 | 1 | 33 | F | Dahomey | Sweden | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1646 | 5 | 1 | 33 | M | Sweden | Dahomey | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1647 | 5 | 1 | 33 | F | Israel | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1648 | 5 | 1 | 33 | M | Sweden | Israel | 1 | P | 263 | 10 | 1 | 0.939 | NA | NA | NA | 54 | 62 |
| 1649 | 5 | 1 | 33 | F | Sweden | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1650 | 5 | 1 | 33 | M | Sweden | Sweden | 1 | L | 270 | 11 | 8 | NA | NA | NA | NA | 0 | 0 |
| 1651 | 5 | 1 | 34 | F | Barcelona | Barcelona | 1 | L | 244 | 10 | 6 | 1.190 | 36 | 23 | 59 | NA | NA |
| 1652 | 5 | 1 | 34 | M | Barcelona | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1653 | 5 | 1 | 34 | F | Brownsville | Barcelona | 1 | P | 280 | 11 | 18 | 1.027 | 17 | 23 | 40 | NA | NA |
| 1654 | 5 | 1 | 34 | M | Barcelona | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1655 | 5 | 1 | 34 | F | Dahomey | Barcelona | 1 | N | 259 | 10 | 21 | 1.054 | 27 | 23 | 50 | NA | NA |
| 1656 | 5 | 1 | 34 | M | Barcelona | Dahomey | 1 | N | NA | NA | NA | 0.983 | NA | NA | NA | 15 | 83 |
| 1657 | 5 | 1 | 34 | F | Israel | Barcelona | 1 | P | 252 | 10 | 14 | 1.089 | 28 | 36 | 64 | NA | NA |
| 1658 | 5 | 1 | 34 | M | Barcelona | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1659 | 5 | 1 | 34 | F | Sweden | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1660 | 5 | 1 | 34 | M | Barcelona | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1661 | 5 | 1 | 34 | F | Barcelona | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1662 | 5 | 1 | 34 | M | Brownsville | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1663 | 5 | 1 | 34 | F | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1664 | 5 | 1 | 34 | M | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1665 | 5 | 1 | 34 | F | Dahomey | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1666 | 5 | 1 | 34 | M | Brownsville | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1667 | 5 | 1 | 34 | F | Israel | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1668 | 5 | 1 | 34 | M | Brownsville | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1669 | 5 | 1 | 34 | F | Sweden | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1670 | 5 | 1 | 34 | M | Brownsville | Sweden | 1 | P | 261 | 10 | 23 | 0.945 | NA | NA | NA | 0 | 89 |
| 1671 | 5 | 1 | 34 | F | Barcelona | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1672 | 5 | 1 | 34 | M | Dahomey | Barcelona | 1 | P | 249 | 10 | 11 | 0.984 | NA | NA | NA | 0 | 35 |
| 1673 | 5 | 1 | 34 | F | Brownsville | Dahomey | 1 | P | 251 | 10 | 13 | 1.013 | 23 | 13 | 36 | NA | NA |
| 1674 | 5 | 1 | 34 | M | Dahomey | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1675 | 5 | 1 | 34 | F | Dahomey | Dahomey | 1 | P | 288 | 12 | 2 | NA | 0 | 0 | 0 | NA | NA |
| 1676 | 5 | 1 | 34 | M | Dahomey | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1677 | 5 | 1 | 34 | F | Israel | Dahomey | 1 | L | 251 | 10 | 13 | 1.034 | 21 | 26 | 47 | NA | NA |
| 1678 | 5 | 1 | 34 | M | Dahomey | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1679 | 5 | 1 | 34 | F | Sweden | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1680 | 5 | 1 | 34 | M | Dahomey | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1681 | 5 | 1 | 34 | F | Barcelona | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1682 | 5 | 1 | 34 | M | Israel | Barcelona | 1 | P | 252 | 10 | 14 | 0.969 | NA | NA | NA | 0 | 0 |
| 1683 | 5 | 1 | 34 | F | Brownsville | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1684 | 5 | 1 | 34 | M | Israel | Brownsville | 1 | L | 253 | 10 | 15 | 0.936 | NA | NA | NA | 32 | 47 |
| 1685 | 5 | 1 | 34 | F | Dahomey | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1686 | 5 | 1 | 34 | M | Israel | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1687 | 5 | 1 | 34 | F | Israel | Israel | 1 | L | 247 | 10 | 9 | 0.995 | 17 | 14 | 31 | NA | NA |
| 1688 | 5 | 1 | 34 | M | Israel | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1689 | 5 | 1 | 34 | F | Sweden | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1690 | 5 | 1 | 34 | M | Israel | Sweden | 1 | L | 270 | 11 | 8 | 0.973 | NA | NA | NA | 0 | 74 |
| 1691 | 5 | 1 | 34 | F | Barcelona | Sweden | 1 | L | 238 | 9 | 0 | 1.023 | 27 | 21 | 48 | NA | NA |
| 1692 | 5 | 1 | 34 | M | Sweden | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1693 | 5 | 1 | 34 | F | Brownsville | Sweden | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1694 | 5 | 1 | 34 | M | Sweden | Brownsville | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1695 | 5 | 1 | 34 | F | Dahomey | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1696 | 5 | 1 | 34 | M | Sweden | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1697 | 5 | 1 | 34 | F | Israel | Sweden | 1 | N | 274 | 11 | 12 | 0.962 | 0 | 0 | 0 | NA | NA |
| 1698 | 5 | 1 | 34 | M | Sweden | Israel | 1 | N | 270 | 11 | 8 | 0.880 | NA | NA | NA | 0 | 33 |
| 1699 | 5 | 1 | 34 | F | Sweden | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1700 | 5 | 1 | 34 | M | Sweden | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1701 | 5 | 2 | 35 | F | Barcelona | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1702 | 5 | 2 | 35 | M | Barcelona | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1703 | 5 | 2 | 35 | F | Brownsville | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1704 | 5 | 2 | 35 | M | Barcelona | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1705 | 5 | 2 | 35 | F | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1706 | 5 | 2 | 35 | M | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1707 | 5 | 2 | 35 | F | Israel | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1708 | 5 | 2 | 35 | M | Barcelona | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1709 | 5 | 2 | 35 | F | Sweden | Barcelona | 1 | L | 273 | 11 | 11 | 0.967 | 9 | 11 | 20 | NA | NA |
| 1710 | 5 | 2 | 35 | M | Barcelona | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1711 | 5 | 2 | 35 | F | Barcelona | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1712 | 5 | 2 | 35 | M | Brownsville | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1713 | 5 | 2 | 35 | F | Brownsville | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1714 | 5 | 2 | 35 | M | Brownsville | Brownsville | 1 | L | 269 | 11 | 7 | 0.928 | NA | NA | NA | 0 | 101 |
| 1715 | 5 | 2 | 35 | F | Dahomey | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1716 | 5 | 2 | 35 | M | Brownsville | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1717 | 5 | 2 | 35 | F | Israel | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1718 | 5 | 2 | 35 | M | Brownsville | Israel | 1 | L | 266 | 11 | 4 | 1.067 | NA | NA | NA | 0 | 52 |
| 1719 | 5 | 2 | 35 | F | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1720 | 5 | 2 | 35 | M | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1721 | 5 | 2 | 35 | F | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1722 | 5 | 2 | 35 | M | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1723 | 5 | 2 | 35 | F | Brownsville | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1724 | 5 | 2 | 35 | M | Dahomey | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1725 | 5 | 2 | 35 | F | Dahomey | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1726 | 5 | 2 | 35 | M | Dahomey | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1727 | 5 | 2 | 35 | F | Israel | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1728 | 5 | 2 | 35 | M | Dahomey | Israel | 1 | L | 271 | 11 | 9 | 0.782 | NA | NA | NA | 0 | 23 |
| 1729 | 5 | 2 | 35 | F | Sweden | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1730 | 5 | 2 | 35 | M | Dahomey | Sweden | 1 | L | 281 | 11 | 19 | 1.017 | NA | NA | NA | 0 | 59 |
| 1731 | 5 | 2 | 35 | F | Barcelona | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1732 | 5 | 2 | 35 | M | Israel | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1733 | 5 | 2 | 35 | F | Brownsville | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1734 | 5 | 2 | 35 | M | Israel | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1735 | 5 | 2 | 35 | F | Dahomey | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1736 | 5 | 2 | 35 | M | Israel | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1737 | 5 | 2 | 35 | F | Israel | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1738 | 5 | 2 | 35 | M | Israel | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1739 | 5 | 2 | 35 | F | Sweden | Israel | 1 | L | 281 | 11 | 19 | NA | 0 | 0 | 0 | NA | NA |
| 1740 | 5 | 2 | 35 | M | Israel | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1741 | 5 | 2 | 35 | F | Barcelona | Sweden | 1 | L | 290 | 12 | 4 | 1.097 | 29 | 29 | 58 | NA | NA |
| 1742 | 5 | 2 | 35 | M | Sweden | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1743 | 5 | 2 | 35 | F | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1744 | 5 | 2 | 35 | M | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1745 | 5 | 2 | 35 | F | Dahomey | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1746 | 5 | 2 | 35 | M | Sweden | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1747 | 5 | 2 | 35 | F | Israel | Sweden | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1748 | 5 | 2 | 35 | M | Sweden | Israel | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1749 | 5 | 2 | 35 | F | Sweden | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1750 | 5 | 2 | 35 | M | Sweden | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1751 | 5 | 2 | 36 | F | Barcelona | Barcelona | 1 | L | 259 | 10 | 21 | 1.090 | 20 | 32 | 52 | NA | NA |
| 1752 | 5 | 2 | 36 | M | Barcelona | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1753 | 5 | 2 | 36 | F | Brownsville | Barcelona | 1 | L | 277 | 11 | 15 | NA | 0 | 0 | 0 | NA | NA |
| 1754 | 5 | 2 | 36 | M | Barcelona | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1755 | 5 | 2 | 36 | F | Dahomey | Barcelona | 1 | L | 250 | 10 | 12 | NA | 15 | 14 | 29 | NA | NA |
| 1756 | 5 | 2 | 36 | M | Barcelona | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1757 | 5 | 2 | 36 | F | Israel | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1758 | 5 | 2 | 36 | M | Barcelona | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1759 | 5 | 2 | 36 | F | Sweden | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1760 | 5 | 2 | 36 | M | Barcelona | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1761 | 5 | 2 | 36 | F | Barcelona | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1762 | 5 | 2 | 36 | M | Brownsville | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1763 | 5 | 2 | 36 | F | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1764 | 5 | 2 | 36 | M | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1765 | 5 | 2 | 36 | F | Dahomey | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1766 | 5 | 2 | 36 | M | Brownsville | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1767 | 5 | 2 | 36 | F | Israel | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1768 | 5 | 2 | 36 | M | Brownsville | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1769 | 5 | 2 | 36 | F | Sweden | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1770 | 5 | 2 | 36 | M | Brownsville | Sweden | 1 | L | 285 | 11 | 23 | 0.926 | NA | NA | NA | 0 | 91 |
| 1771 | 5 | 2 | 36 | F | Barcelona | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1772 | 5 | 2 | 36 | M | Dahomey | Barcelona | 1 | P | 286 | 12 | 0 | 0.851 | NA | NA | NA | 0 | 18 |
| 1773 | 5 | 2 | 36 | F | Brownsville | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1774 | 5 | 2 | 36 | M | Dahomey | Brownsville | 1 | L | 276 | 11 | 14 | 0.821 | NA | NA | NA | 0 | 73 |
| 1775 | 5 | 2 | 36 | F | Dahomey | Dahomey | 1 | P | 272 | 11 | 10 | NA | 0 | 0 | 0 | NA | NA |
| 1776 | 5 | 2 | 36 | M | Dahomey | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1777 | 5 | 2 | 36 | F | Israel | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1778 | 5 | 2 | 36 | M | Dahomey | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1779 | 5 | 2 | 36 | F | Sweden | Dahomey | 1 | P | 256 | 10 | 18 | 0.977 | 13 | 23 | 36 | NA | NA |
| 1780 | 5 | 2 | 36 | M | Dahomey | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1781 | 5 | 2 | 36 | F | Barcelona | Israel | 1 | L | 272 | 11 | 10 | 1.056 | 0 | 0 | 0 | NA | NA |
| 1782 | 5 | 2 | 36 | M | Israel | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1783 | 5 | 2 | 36 | F | Brownsville | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1784 | 5 | 2 | 36 | M | Israel | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1785 | 5 | 2 | 36 | F | Dahomey | Israel | 1 | L | 245 | 10 | 7 | 1.062 | 33 | 21 | 54 | NA | NA |
| 1786 | 5 | 2 | 36 | M | Israel | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1787 | 5 | 2 | 36 | F | Israel | Israel | 1 | L | 242 | 10 | 4 | 1.198 | 0 | 0 | 0 | NA | NA |
| 1788 | 5 | 2 | 36 | M | Israel | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1789 | 5 | 2 | 36 | F | Sweden | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1790 | 5 | 2 | 36 | M | Israel | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1791 | 5 | 2 | 36 | F | Barcelona | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1792 | 5 | 2 | 36 | M | Sweden | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1793 | 5 | 2 | 36 | F | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1794 | 5 | 2 | 36 | M | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1795 | 5 | 2 | 36 | F | Dahomey | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1796 | 5 | 2 | 36 | M | Sweden | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1797 | 5 | 2 | 36 | F | Israel | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1798 | 5 | 2 | 36 | M | Sweden | Israel | 1 | L | 250 | 10 | 12 | NA | NA | NA | NA | 0 | 0 |
| 1799 | 5 | 2 | 36 | F | Sweden | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1800 | 5 | 2 | 36 | M | Sweden | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1801 | 6 | 1 | 37 | F | Barcelona | Barcelona | 1 | L | 252 | 10 | 14 | NA | 20 | 16 | 36 | NA | NA |
| 1802 | 6 | 1 | 37 | M | Barcelona | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1803 | 6 | 1 | 37 | F | Brownsville | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1804 | 6 | 1 | 37 | M | Barcelona | Brownsville | 1 | L | 241 | 10 | 3 | 1.060 | NA | NA | NA | 36 | 68 |
| 1807 | 6 | 1 | 37 | F | Israel | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1808 | 6 | 1 | 37 | M | Barcelona | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1809 | 6 | 1 | 37 | F | Sweden | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1810 | 6 | 1 | 37 | M | Barcelona | Sweden | 1 | L | 260 | 10 | 22 | 1.084 | NA | NA | NA | 97 | 4 |
| 1811 | 6 | 1 | 37 | F | Barcelona | Brownsville | 1 | L | NA | NA | NA | 1.177 | 31 | 35 | 66 | NA | NA |
| 1812 | 6 | 1 | 37 | M | Brownsville | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1815 | 6 | 1 | 37 | F | Dahomey | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1816 | 6 | 1 | 37 | M | Brownsville | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1817 | 6 | 1 | 37 | F | Israel | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1818 | 6 | 1 | 37 | M | Brownsville | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1819 | 6 | 1 | 37 | F | Sweden | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1820 | 6 | 1 | 37 | M | Brownsville | Sweden | 1 | L | 257 | 10 | 19 | 0.898 | NA | NA | NA | 0 | 34 |
| 1821 | 6 | 1 | 37 | F | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1822 | 6 | 1 | 37 | M | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1823 | 6 | 1 | 37 | F | Brownsville | Dahomey | 1 | N | 242 | 10 | 4 | 1.018 | 17 | 18 | 35 | NA | NA |
| 1824 | 6 | 1 | 37 | M | Dahomey | Brownsville | 1 | N | 260 | 10 | 22 | 0.932 | NA | NA | NA | 0 | 74 |
| 1825 | 6 | 1 | 37 | F | Dahomey | Dahomey | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1826 | 6 | 1 | 37 | M | Dahomey | Dahomey | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1827 | 6 | 1 | 37 | F | Israel | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1828 | 6 | 1 | 37 | M | Dahomey | Israel | 1 | L | 251 | 10 | 13 | 0.872 | NA | NA | NA | 0 | 35 |
| 1829 | 6 | 1 | 37 | F | Sweden | Dahomey | 1 | L | 226 | 9 | 12 | 1.096 | 30 | 37 | 67 | NA | NA |
| 1830 | 6 | 1 | 37 | M | Dahomey | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1831 | 6 | 1 | 37 | F | Barcelona | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1832 | 6 | 1 | 37 | M | Israel | Barcelona | 1 | L | 270 | 11 | 8 | 0.865 | NA | NA | NA | 0 | 101 |
| 1833 | 6 | 1 | 37 | F | Brownsville | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1834 | 6 | 1 | 37 | M | Israel | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1835 | 6 | 1 | 37 | F | Dahomey | Israel | 1 | L | 259 | 10 | 21 | 0.959 | 0 | 0 | 0 | NA | NA |
| 1836 | 6 | 1 | 37 | M | Israel | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1837 | 6 | 1 | 37 | F | Israel | Israel | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1838 | 6 | 1 | 37 | M | Israel | Israel | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1839 | 6 | 1 | 37 | F | Sweden | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1840 | 6 | 1 | 37 | M | Israel | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1843 | 6 | 1 | 37 | F | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1844 | 6 | 1 | 37 | M | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1845 | 6 | 1 | 37 | F | Dahomey | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1846 | 6 | 1 | 37 | M | Sweden | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1847 | 6 | 1 | 37 | F | Israel | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1848 | 6 | 1 | 37 | M | Sweden | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1849 | 6 | 1 | 37 | F | Sweden | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1850 | 6 | 1 | 37 | M | Sweden | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1851 | 6 | 1 | 38 | F | Barcelona | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1852 | 6 | 1 | 38 | M | Barcelona | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1853 | 6 | 1 | 38 | F | Brownsville | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1854 | 6 | 1 | 38 | M | Barcelona | Brownsville | 1 | L | 269 | 11 | 7 | NA | NA | NA | NA | 0 | 0 |
| 1855 | 6 | 1 | 38 | F | Dahomey | Barcelona | 1 | L | 240 | 10 | 2 | 1.100 | 30 | 28 | 58 | NA | NA |
| 1856 | 6 | 1 | 38 | M | Barcelona | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1857 | 6 | 1 | 38 | F | Israel | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1858 | 6 | 1 | 38 | M | Barcelona | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1859 | 6 | 1 | 38 | F | Sweden | Barcelona | 1 | N | 252 | 10 | 14 | NA | 22 | 17 | 39 | NA | NA |
| 1860 | 6 | 1 | 38 | M | Barcelona | Sweden | 1 | N | 241 | 10 | 3 | NA | NA | NA | NA | 0 | 107 |
| 1861 | 6 | 1 | 38 | F | Barcelona | Brownsville | 1 | L | 246 | 10 | 8 | NA | 0 | 0 | 0 | NA | NA |
| 1862 | 6 | 1 | 38 | M | Brownsville | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1863 | 6 | 1 | 38 | F | Brownsville | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1864 | 6 | 1 | 38 | M | Brownsville | Brownsville | 1 | L | 230 | 9 | 16 | NA | NA | NA | NA | 0 | 0 |
| 1865 | 6 | 1 | 38 | F | Dahomey | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1866 | 6 | 1 | 38 | M | Brownsville | Dahomey | 1 | L | 247 | 10 | 9 | NA | NA | NA | NA | 0 | 0 |
| 1867 | 6 | 1 | 38 | F | Israel | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1868 | 6 | 1 | 38 | M | Brownsville | Israel | 1 | L | 261 | 10 | 23 | 0.892 | NA | NA | NA | 0 | 56 |
| 1869 | 6 | 1 | 38 | F | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1870 | 6 | 1 | 38 | M | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1871 | 6 | 1 | 38 | F | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1872 | 6 | 1 | 38 | M | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1873 | 6 | 1 | 38 | F | Brownsville | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1874 | 6 | 1 | 38 | M | Dahomey | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1875 | 6 | 1 | 38 | F | Dahomey | Dahomey | 1 | N | 256 | 10 | 18 | 0.976 | 0 | 0 | 0 | NA | NA |
| 1876 | 6 | 1 | 38 | M | Dahomey | Dahomey | 1 | N | 247 | 10 | 9 | NA | NA | NA | NA | 0 | 28 |
| 1877 | 6 | 1 | 38 | F | Israel | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1878 | 6 | 1 | 38 | M | Dahomey | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1879 | 6 | 1 | 38 | F | Sweden | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1880 | 6 | 1 | 38 | M | Dahomey | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1881 | 6 | 1 | 38 | F | Barcelona | Israel | 1 | L | 247 | 10 | 9 | NA | 0 | 0 | 0 | NA | NA |
| 1882 | 6 | 1 | 38 | M | Israel | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1883 | 6 | 1 | 38 | F | Brownsville | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1884 | 6 | 1 | 38 | M | Israel | Brownsville | 1 | P | 257 | 10 | 19 | 0.918 | NA | NA | NA | 0 | 105 |
| 1885 | 6 | 1 | 38 | F | Dahomey | Israel | 1 | L | 254 | 10 | 16 | NA | 0 | 0 | 0 | NA | NA |
| 1886 | 6 | 1 | 38 | M | Israel | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1887 | 6 | 1 | 38 | F | Israel | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1888 | 6 | 1 | 38 | M | Israel | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1889 | 6 | 1 | 38 | F | Sweden | Israel | 1 | N | 247 | 10 | 9 | NA | 0 | 0 | 0 | NA | NA |
| 1890 | 6 | 1 | 38 | M | Israel | Sweden | 1 | N | 239 | 9 | 1 | NA | NA | NA | NA | 0 | 65 |
| 1891 | 6 | 1 | 38 | F | Barcelona | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1892 | 6 | 1 | 38 | M | Sweden | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1893 | 6 | 1 | 38 | F | Brownsville | Sweden | 1 | L | 239 | 9 | 1 | NA | 0 | 0 | 0 | NA | NA |
| 1894 | 6 | 1 | 38 | M | Sweden | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1895 | 6 | 1 | 38 | F | Dahomey | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1896 | 6 | 1 | 38 | M | Sweden | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1897 | 6 | 1 | 38 | F | Israel | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1898 | 6 | 1 | 38 | M | Sweden | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1899 | 6 | 1 | 38 | F | Sweden | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1900 | 6 | 1 | 38 | M | Sweden | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1901 | 6 | 1 | 39 | F | Barcelona | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1902 | 6 | 1 | 39 | M | Barcelona | Barcelona | 1 | P | 273 | 11 | 11 | 0.865 | NA | NA | NA | 0 | 0 |
| 1903 | 6 | 1 | 39 | F | Brownsville | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1904 | 6 | 1 | 39 | M | Barcelona | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1905 | 6 | 1 | 39 | F | Dahomey | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1906 | 6 | 1 | 39 | M | Barcelona | Dahomey | 1 | L | 254 | 10 | 16 | 0.929 | NA | NA | NA | 0 | 35 |
| 1907 | 6 | 1 | 39 | F | Israel | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1908 | 6 | 1 | 39 | M | Barcelona | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1909 | 6 | 1 | 39 | F | Sweden | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1910 | 6 | 1 | 39 | M | Barcelona | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1911 | 6 | 1 | 39 | F | Barcelona | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1912 | 6 | 1 | 39 | M | Brownsville | Barcelona | 1 | P | 247 | 10 | 9 | NA | NA | NA | NA | 0 | 48 |
| 1913 | 6 | 1 | 39 | F | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1914 | 6 | 1 | 39 | M | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1915 | 6 | 1 | 39 | F | Dahomey | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1916 | 6 | 1 | 39 | M | Brownsville | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1917 | 6 | 1 | 39 | F | Israel | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1918 | 6 | 1 | 39 | M | Brownsville | Israel | 1 | L | 244 | 10 | 6 | 0.706 | NA | NA | NA | 0 | 118 |
| 1919 | 6 | 1 | 39 | F | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1920 | 6 | 1 | 39 | M | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1921 | 6 | 1 | 39 | F | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1922 | 6 | 1 | 39 | M | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1923 | 6 | 1 | 39 | F | Brownsville | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1924 | 6 | 1 | 39 | M | Dahomey | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1925 | 6 | 1 | 39 | F | Dahomey | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1926 | 6 | 1 | 39 | M | Dahomey | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1927 | 6 | 1 | 39 | F | Israel | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1928 | 6 | 1 | 39 | M | Dahomey | Israel | 1 | L | 249 | 10 | 11 | 1.078 | NA | NA | NA | 84 | 22 |
| 1929 | 6 | 1 | 39 | F | Sweden | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1930 | 6 | 1 | 39 | M | Dahomey | Sweden | 1 | L | 243 | 10 | 5 | 1.008 | NA | NA | NA | 49 | 6 |
| 1931 | 6 | 1 | 39 | F | Barcelona | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1932 | 6 | 1 | 39 | M | Israel | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1933 | 6 | 1 | 39 | F | Brownsville | Israel | 1 | P | NA | NA | NA | 1.094 | 0 | 0 | 0 | NA | NA |
| 1934 | 6 | 1 | 39 | M | Israel | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1935 | 6 | 1 | 39 | F | Dahomey | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1936 | 6 | 1 | 39 | M | Israel | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1937 | 6 | 1 | 39 | F | Israel | Israel | 1 | N | 270 | 11 | 8 | NA | 0 | 0 | 0 | NA | NA |
| 1938 | 6 | 1 | 39 | M | Israel | Israel | 1 | N | 268 | 11 | 6 | 0.844 | NA | NA | NA | 73 | 36 |
| 1939 | 6 | 1 | 39 | F | Sweden | Israel | 1 | N | 253 | 10 | 15 | 1.068 | 28 | 18 | 46 | NA | NA |
| 1940 | 6 | 1 | 39 | M | Israel | Sweden | 1 | N | 271 | 11 | 9 | 0.900 | NA | NA | NA | 39 | 16 |
| 1941 | 6 | 1 | 39 | F | Barcelona | Sweden | 1 | P | 245 | 10 | 7 | 1.040 | 21 | 25 | 46 | NA | NA |
| 1942 | 6 | 1 | 39 | M | Sweden | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1943 | 6 | 1 | 39 | F | Brownsville | Sweden | 1 | L | 241 | 10 | 3 | NA | 0 | 0 | 0 | NA | NA |
| 1944 | 6 | 1 | 39 | M | Sweden | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1945 | 6 | 1 | 39 | F | Dahomey | Sweden | 1 | P | 251 | 10 | 13 | NA | 1 | 1 | 2 | NA | NA |
| 1946 | 6 | 1 | 39 | M | Sweden | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1951 | 6 | 1 | 40 | F | Barcelona | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1952 | 6 | 1 | 40 | M | Barcelona | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1953 | 6 | 1 | 40 | F | Brownsville | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1954 | 6 | 1 | 40 | M | Barcelona | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1955 | 6 | 1 | 40 | F | Dahomey | Barcelona | 1 | P | 257 | 10 | 19 | 0.985 | 22 | 32 | 54 | NA | NA |
| 1956 | 6 | 1 | 40 | M | Barcelona | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1957 | 6 | 1 | 40 | F | Israel | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1958 | 6 | 1 | 40 | M | Barcelona | Israel | 1 | P | 277 | 11 | 15 | NA | NA | NA | NA | 0 | 66 |
| 1959 | 6 | 1 | 40 | F | Sweden | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1960 | 6 | 1 | 40 | M | Barcelona | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1961 | 6 | 1 | 40 | F | Barcelona | Brownsville | 1 | N | 255 | 10 | 17 | 0.989 | 8 | 8 | 16 | NA | NA |
| 1962 | 6 | 1 | 40 | M | Brownsville | Barcelona | 1 | N | 287 | 12 | 1 | 0.919 | NA | NA | NA | 0 | 66 |
| 1963 | 6 | 1 | 40 | F | Brownsville | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1964 | 6 | 1 | 40 | M | Brownsville | Brownsville | 1 | L | 247 | 10 | 9 | 0.999 | NA | NA | NA | 0 | 90 |
| 1965 | 6 | 1 | 40 | F | Dahomey | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1966 | 6 | 1 | 40 | M | Brownsville | Dahomey | 1 | L | NA | NA | NA | 0.910 | NA | NA | NA | 0 | 14 |
| 1967 | 6 | 1 | 40 | F | Israel | Brownsville | 0 | P | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1968 | 6 | 1 | 40 | M | Brownsville | Israel | 0 | P | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1969 | 6 | 1 | 40 | F | Sweden | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1970 | 6 | 1 | 40 | M | Brownsville | Sweden | 1 | P | 240 | 10 | 2 | 0.999 | NA | NA | NA | 0 | 0 |
| 1971 | 6 | 1 | 40 | F | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1972 | 6 | 1 | 40 | M | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1973 | 6 | 1 | 40 | F | Brownsville | Dahomey | 1 | P | 242 | 10 | 4 | 1.024 | 29 | 30 | 59 | NA | NA |
| 1974 | 6 | 1 | 40 | M | Dahomey | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1975 | 6 | 1 | 40 | F | Dahomey | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1976 | 6 | 1 | 40 | M | Dahomey | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1977 | 6 | 1 | 40 | F | Israel | Dahomey | 1 | L | 242 | 10 | 4 | NA | 0 | 0 | 0 | NA | NA |
| 1978 | 6 | 1 | 40 | M | Dahomey | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1979 | 6 | 1 | 40 | F | Sweden | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1980 | 6 | 1 | 40 | M | Dahomey | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1981 | 6 | 1 | 40 | F | Barcelona | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1982 | 6 | 1 | 40 | M | Israel | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1983 | 6 | 1 | 40 | F | Brownsville | Israel | 1 | P | 245 | 10 | 7 | 0.996 | 23 | 18 | 41 | NA | NA |
| 1984 | 6 | 1 | 40 | M | Israel | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1985 | 6 | 1 | 40 | F | Dahomey | Israel | 1 | L | 250 | 10 | 12 | NA | 0 | 0 | 0 | NA | NA |
| 1986 | 6 | 1 | 40 | M | Israel | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1987 | 6 | 1 | 40 | F | Israel | Israel | 1 | L | 272 | 11 | 10 | 0.994 | 2 | 4 | 6 | NA | NA |
| 1988 | 6 | 1 | 40 | M | Israel | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1989 | 6 | 1 | 40 | F | Sweden | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1990 | 6 | 1 | 40 | M | Israel | Sweden | 1 | L | 243 | 10 | 5 | 1.012 | NA | NA | NA | 0 | 4 |
| 1991 | 6 | 1 | 40 | F | Barcelona | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1992 | 6 | 1 | 40 | M | Sweden | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1993 | 6 | 1 | 40 | F | Brownsville | Sweden | 1 | N | 242 | 10 | 4 | 1.033 | 26 | 28 | 54 | NA | NA |
| 1994 | 6 | 1 | 40 | M | Sweden | Brownsville | 1 | N | 257 | 10 | 19 | 0.906 | NA | NA | NA | 48 | 60 |
| 1995 | 6 | 1 | 40 | F | Dahomey | Sweden | 1 | L | 275 | 11 | 13 | 0.908 | 0 | 0 | 0 | NA | NA |
| 1996 | 6 | 1 | 40 | M | Sweden | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 1997 | 6 | 1 | 40 | F | Israel | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 1998 | 6 | 1 | 40 | M | Sweden | Israel | 1 | L | 248 | 10 | 10 | 0.987 | NA | NA | NA | 124 | 23 |
| 1999 | 6 | 1 | 40 | F | Sweden | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2000 | 6 | 1 | 40 | M | Sweden | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2001 | 6 | 1 | 41 | F | Barcelona | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2002 | 6 | 1 | 41 | M | Barcelona | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2003 | 6 | 1 | 41 | F | Brownsville | Barcelona | 1 | N | 269 | 11 | 7 | 1.042 | 23 | 15 | 38 | NA | NA |
| 2004 | 6 | 1 | 41 | M | Barcelona | Brownsville | 1 | N | 271 | 11 | 9 | 0.963 | NA | NA | NA | 97 | 24 |
| 2005 | 6 | 1 | 41 | F | Dahomey | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2006 | 6 | 1 | 41 | M | Barcelona | Dahomey | 1 | P | 244 | 10 | 6 | 1.059 | NA | NA | NA | 58 | 9 |
| 2007 | 6 | 1 | 41 | F | Israel | Barcelona | 1 | P | 250 | 10 | 12 | NA | 27 | 21 | 48 | NA | NA |
| 2008 | 6 | 1 | 41 | M | Barcelona | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2009 | 6 | 1 | 41 | F | Sweden | Barcelona | 1 | P | 248 | 10 | 10 | 1.149 | 23 | 20 | 43 | NA | NA |
| 2010 | 6 | 1 | 41 | M | Barcelona | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2011 | 6 | 1 | 41 | F | Barcelona | Brownsville | 1 | N | 274 | 11 | 12 | NA | 0 | 0 | 0 | NA | NA |
| 2012 | 6 | 1 | 41 | M | Brownsville | Barcelona | 1 | N | 242 | 10 | 4 | 1.030 | NA | NA | NA | 0 | 32 |
| 2013 | 6 | 1 | 41 | F | Brownsville | Brownsville | 1 | N | 254 | 10 | 16 | NA | 0 | 0 | 0 | NA | NA |
| 2014 | 6 | 1 | 41 | M | Brownsville | Brownsville | 1 | N | 243 | 10 | 5 | 0.947 | NA | NA | NA | 0 | 0 |
| 2015 | 6 | 1 | 41 | F | Dahomey | Brownsville | 1 | L | 253 | 10 | 15 | 1.157 | 48 | 26 | 74 | NA | NA |
| 2016 | 6 | 1 | 41 | M | Brownsville | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2017 | 6 | 1 | 41 | F | Israel | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2018 | 6 | 1 | 41 | M | Brownsville | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2019 | 6 | 1 | 41 | F | Sweden | Brownsville | 1 | N | 266 | 11 | 4 | 0.998 | 1 | 2 | 3 | NA | NA |
| 2020 | 6 | 1 | 41 | M | Brownsville | Sweden | 1 | N | 288 | 12 | 2 | NA | NA | NA | NA | 0 | 0 |
| 2021 | 6 | 1 | 41 | F | Barcelona | Dahomey | 1 | N | 247 | 10 | 9 | 1.092 | 16 | 26 | 42 | NA | NA |
| 2022 | 6 | 1 | 41 | M | Dahomey | Barcelona | 1 | N | 250 | 10 | 12 | 1.060 | NA | NA | NA | 45 | 3 |
| 2023 | 6 | 1 | 41 | F | Brownsville | Dahomey | 1 | N | 272 | 11 | 10 | 1.005 | 14 | 21 | 35 | NA | NA |
| 2024 | 6 | 1 | 41 | M | Dahomey | Brownsville | 1 | N | 284 | 11 | 22 | 1.021 | NA | NA | NA | 4 | 0 |
| 2025 | 6 | 1 | 41 | F | Dahomey | Dahomey | 1 | P | 245 | 10 | 7 | 1.074 | 38 | 32 | 70 | NA | NA |
| 2026 | 6 | 1 | 41 | M | Dahomey | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2027 | 6 | 1 | 41 | F | Israel | Dahomey | 1 | N | 274 | 11 | 12 | 0.967 | 0 | 0 | 0 | NA | NA |
| 2028 | 6 | 1 | 41 | M | Dahomey | Israel | 1 | N | 241 | 10 | 3 | 1.042 | NA | NA | NA | 0 | 54 |
| 2029 | 6 | 1 | 41 | F | Sweden | Dahomey | 1 | L | 240 | 10 | 2 | NA | 33 | 31 | 64 | NA | NA |
| 2030 | 6 | 1 | 41 | M | Dahomey | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2031 | 6 | 1 | 41 | F | Barcelona | Israel | 1 | P | 248 | 10 | 10 | 1.106 | 22 | 30 | 52 | NA | NA |
| 2032 | 6 | 1 | 41 | M | Israel | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2033 | 6 | 1 | 41 | F | Brownsville | Israel | 1 | N | 245 | 10 | 7 | 1.063 | 7 | 9 | 16 | NA | NA |
| 2034 | 6 | 1 | 41 | M | Israel | Brownsville | 1 | N | 272 | 11 | 10 | 0.876 | NA | NA | NA | 0 | 96 |
| 2035 | 6 | 1 | 41 | F | Dahomey | Israel | 1 | N | 252 | 10 | 14 | 0.985 | 18 | 21 | 39 | NA | NA |
| 2036 | 6 | 1 | 41 | M | Israel | Dahomey | 1 | N | 263 | 10 | 1 | 0.904 | NA | NA | NA | 0 | 58 |
| 2037 | 6 | 1 | 41 | F | Israel | Israel | 1 | L | 231 | 9 | 17 | 1.053 | 28 | 25 | 53 | NA | NA |
| 2038 | 6 | 1 | 41 | M | Israel | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2039 | 6 | 1 | 41 | F | Sweden | Israel | 1 | N | 238 | 9 | 0 | 1.205 | 0 | 0 | 0 | NA | NA |
| 2040 | 6 | 1 | 41 | M | Israel | Sweden | 1 | N | 247 | 10 | 9 | NA | NA | NA | NA | NA | NA |
| 2041 | 6 | 1 | 41 | F | Barcelona | Sweden | 1 | L | 273 | 11 | 11 | 1.106 | 31 | 38 | 69 | NA | NA |
| 2042 | 6 | 1 | 41 | M | Sweden | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2043 | 6 | 1 | 41 | F | Brownsville | Sweden | 1 | L | 275 | 11 | 13 | NA | 0 | 0 | 0 | NA | NA |
| 2044 | 6 | 1 | 41 | M | Sweden | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2045 | 6 | 1 | 41 | F | Dahomey | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2046 | 6 | 1 | 41 | M | Sweden | Dahomey | 1 | L | 252 | 10 | 14 | NA | NA | NA | NA | 0 | 19 |
| 2049 | 6 | 1 | 41 | F | Sweden | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2050 | 6 | 1 | 41 | M | Sweden | Sweden | 1 | L | 268 | 11 | 6 | NA | NA | NA | NA | 0 | 0 |
| 2051 | 6 | 1 | 42 | F | Barcelona | Barcelona | 1 | N | 257 | 10 | 19 | 1.090 | 21 | 26 | 47 | NA | NA |
| 2052 | 6 | 1 | 42 | M | Barcelona | Barcelona | 1 | N | 255 | 10 | 17 | 0.995 | NA | NA | NA | 90 | 0 |
| 2053 | 6 | 1 | 42 | F | Brownsville | Barcelona | 1 | N | 270 | 11 | 8 | NA | 0 | 0 | 0 | NA | NA |
| 2054 | 6 | 1 | 42 | M | Barcelona | Brownsville | 1 | N | 255 | 10 | 17 | 0.995 | NA | NA | NA | 0 | 16 |
| 2055 | 6 | 1 | 42 | F | Dahomey | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2056 | 6 | 1 | 42 | M | Barcelona | Dahomey | 1 | L | 255 | 10 | 17 | 0.973 | NA | NA | NA | 70 | 68 |
| 2057 | 6 | 1 | 42 | F | Israel | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2058 | 6 | 1 | 42 | M | Barcelona | Israel | 1 | L | 275 | 11 | 13 | NA | NA | NA | NA | 0 | 0 |
| 2059 | 6 | 1 | 42 | F | Sweden | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2060 | 6 | 1 | 42 | M | Barcelona | Sweden | 1 | L | 268 | 11 | 6 | 0.965 | NA | NA | NA | 81 | 33 |
| 2063 | 6 | 1 | 42 | F | Brownsville | Brownsville | 1 | L | 245 | 10 | 7 | 1.165 | 39 | 34 | 73 | NA | NA |
| 2064 | 6 | 1 | 42 | M | Brownsville | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2065 | 6 | 1 | 42 | F | Dahomey | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2066 | 6 | 1 | 42 | M | Brownsville | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2067 | 6 | 1 | 42 | F | Israel | Brownsville | 1 | N | 250 | 10 | 12 | 1.070 | 24 | 25 | 49 | NA | NA |
| 2068 | 6 | 1 | 42 | M | Brownsville | Israel | 1 | N | 254 | 10 | 16 | NA | NA | NA | NA | 0 | 99 |
| 2069 | 6 | 1 | 42 | F | Sweden | Brownsville | 1 | N | 258 | 10 | 20 | 0.994 | 0 | 0 | 0 | NA | NA |
| 2070 | 6 | 1 | 42 | M | Brownsville | Sweden | 1 | N | 274 | 11 | 12 | 0.902 | NA | NA | NA | 0 | 43 |
| 2071 | 6 | 1 | 42 | F | Barcelona | Dahomey | 1 | N | 241 | 10 | 3 | 1.103 | 22 | 23 | 45 | NA | NA |
| 2072 | 6 | 1 | 42 | M | Dahomey | Barcelona | 1 | N | 254 | 10 | 16 | 0.981 | NA | NA | NA | 14 | 29 |
| 2073 | 6 | 1 | 42 | F | Brownsville | Dahomey | 1 | N | 230 | 9 | 16 | 0.916 | 20 | 20 | 40 | NA | NA |
| 2074 | 6 | 1 | 42 | M | Dahomey | Brownsville | 1 | N | 242 | 10 | 4 | 0.995 | NA | NA | NA | 0 | 17 |
| 2075 | 6 | 1 | 42 | F | Dahomey | Dahomey | 1 | L | 252 | 10 | 14 | 1.102 | 27 | 28 | 55 | NA | NA |
| 2076 | 6 | 1 | 42 | M | Dahomey | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2077 | 6 | 1 | 42 | F | Israel | Dahomey | 1 | N | 259 | 10 | 21 | 1.076 | 19 | 18 | 37 | NA | NA |
| 2078 | 6 | 1 | 42 | M | Dahomey | Israel | 1 | N | 275 | 11 | 13 | 0.944 | NA | NA | NA | 121 | 0 |
| 2079 | 6 | 1 | 42 | F | Sweden | Dahomey | 1 | L | 269 | 11 | 7 | 1.003 | 24 | 23 | 47 | NA | NA |
| 2080 | 6 | 1 | 42 | M | Dahomey | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2081 | 6 | 1 | 42 | F | Barcelona | Israel | 1 | L | 245 | 10 | 7 | 1.212 | 0 | 0 | 0 | NA | NA |
| 2082 | 6 | 1 | 42 | M | Israel | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2083 | 6 | 1 | 42 | F | Brownsville | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2084 | 6 | 1 | 42 | M | Israel | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2087 | 6 | 1 | 42 | F | Israel | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2088 | 6 | 1 | 42 | M | Israel | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2089 | 6 | 1 | 42 | F | Sweden | Israel | 1 | L | 276 | 11 | 14 | 0.940 | 6 | 13 | 19 | NA | NA |
| 2090 | 6 | 1 | 42 | M | Israel | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2091 | 6 | 1 | 42 | F | Barcelona | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2092 | 6 | 1 | 42 | M | Sweden | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2093 | 6 | 1 | 42 | F | Brownsville | Sweden | 1 | L | 254 | 10 | 16 | 0.897 | 8 | 14 | 22 | NA | NA |
| 2094 | 6 | 1 | 42 | M | Sweden | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2095 | 6 | 1 | 42 | F | Dahomey | Sweden | 1 | N | 252 | 10 | 14 | 1.011 | 17 | 27 | 44 | NA | NA |
| 2096 | 6 | 1 | 42 | M | Sweden | Dahomey | 1 | N | 262 | 10 | 0 | 0.970 | NA | NA | NA | 106 | 8 |
| 2097 | 6 | 1 | 42 | F | Israel | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2098 | 6 | 1 | 42 | M | Sweden | Israel | 1 | L | 286 | 12 | 0 | NA | NA | NA | NA | 0 | 0 |
| 2099 | 6 | 1 | 42 | F | Sweden | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2100 | 6 | 1 | 42 | M | Sweden | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2101 | 6 | 1 | 43 | F | Barcelona | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2102 | 6 | 1 | 43 | M | Barcelona | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2103 | 6 | 1 | 43 | F | Brownsville | Barcelona | 1 | N | 252 | 10 | 14 | 1.085 | 27 | 28 | 55 | NA | NA |
| 2104 | 6 | 1 | 43 | M | Barcelona | Brownsville | 1 | N | 277 | 11 | 15 | 0.917 | NA | NA | NA | 0 | 82 |
| 2105 | 6 | 1 | 43 | F | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2106 | 6 | 1 | 43 | M | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2107 | 6 | 1 | 43 | F | Israel | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2108 | 6 | 1 | 43 | M | Barcelona | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2109 | 6 | 1 | 43 | F | Sweden | Barcelona | 1 | P | 259 | 10 | 21 | 0.936 | 10 | 9 | 19 | NA | NA |
| 2110 | 6 | 1 | 43 | M | Barcelona | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2111 | 6 | 1 | 43 | F | Barcelona | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2112 | 6 | 1 | 43 | M | Brownsville | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2113 | 6 | 1 | 43 | F | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2114 | 6 | 1 | 43 | M | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2115 | 6 | 1 | 43 | F | Dahomey | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2116 | 6 | 1 | 43 | M | Brownsville | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2117 | 6 | 1 | 43 | F | Israel | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2118 | 6 | 1 | 43 | M | Brownsville | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2119 | 6 | 1 | 43 | F | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2120 | 6 | 1 | 43 | M | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2121 | 6 | 1 | 43 | F | Barcelona | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2122 | 6 | 1 | 43 | M | Dahomey | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2123 | 6 | 1 | 43 | F | Brownsville | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2124 | 6 | 1 | 43 | M | Dahomey | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2125 | 6 | 1 | 43 | F | Dahomey | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2126 | 6 | 1 | 43 | M | Dahomey | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2127 | 6 | 1 | 43 | F | Israel | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2128 | 6 | 1 | 43 | M | Dahomey | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2129 | 6 | 1 | 43 | F | Sweden | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2130 | 6 | 1 | 43 | M | Dahomey | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2131 | 6 | 1 | 43 | F | Barcelona | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2132 | 6 | 1 | 43 | M | Israel | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2133 | 6 | 1 | 43 | F | Brownsville | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2134 | 6 | 1 | 43 | M | Israel | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2135 | 6 | 1 | 43 | F | Dahomey | Israel | 1 | N | 256 | 10 | 18 | 0.999 | 28 | 18 | 46 | NA | NA |
| 2136 | 6 | 1 | 43 | M | Israel | Dahomey | 1 | N | 275 | 11 | 13 | 0.827 | NA | NA | NA | 0 | 30 |
| 2137 | 6 | 1 | 43 | F | Israel | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2138 | 6 | 1 | 43 | M | Israel | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2139 | 6 | 1 | 43 | F | Sweden | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2140 | 6 | 1 | 43 | M | Israel | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2141 | 6 | 1 | 43 | F | Barcelona | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2142 | 6 | 1 | 43 | M | Sweden | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2143 | 6 | 1 | 43 | F | Brownsville | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2144 | 6 | 1 | 43 | M | Sweden | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2145 | 6 | 1 | 43 | F | Dahomey | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2146 | 6 | 1 | 43 | M | Sweden | Dahomey | 1 | P | 274 | 11 | 12 | NA | NA | NA | NA | 0 | 49 |
| 2147 | 6 | 1 | 43 | F | Israel | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2148 | 6 | 1 | 43 | M | Sweden | Israel | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2149 | 6 | 1 | 43 | F | Sweden | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2150 | 6 | 1 | 43 | M | Sweden | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2151 | 6 | 1 | 44 | F | Barcelona | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2152 | 6 | 1 | 44 | M | Barcelona | Barcelona | 1 | L | 244 | 10 | 6 | NA | NA | NA | NA | 0 | 0 |
| 2153 | 6 | 1 | 44 | F | Brownsville | Barcelona | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2154 | 6 | 1 | 44 | M | Barcelona | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2155 | 6 | 1 | 44 | F | Dahomey | Barcelona | 1 | N | 256 | 10 | 18 | 1.080 | 13 | 4 | 17 | NA | NA |
| 2156 | 6 | 1 | 44 | M | Barcelona | Dahomey | 1 | N | 245 | 10 | 7 | 1.017 | NA | NA | NA | 46 | 38 |
| 2157 | 6 | 1 | 44 | F | Israel | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2158 | 6 | 1 | 44 | M | Barcelona | Israel | 1 | L | 243 | 10 | 5 | 1.059 | NA | NA | NA | 50 | 2 |
| 2159 | 6 | 1 | 44 | F | Sweden | Barcelona | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2160 | 6 | 1 | 44 | M | Barcelona | Sweden | 1 | P | 261 | 10 | 23 | 0.952 | NA | NA | NA | 107 | 53 |
| 2161 | 6 | 1 | 44 | F | Barcelona | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2162 | 6 | 1 | 44 | M | Brownsville | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2163 | 6 | 1 | 44 | F | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2164 | 6 | 1 | 44 | M | Brownsville | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2165 | 6 | 1 | 44 | F | Dahomey | Brownsville | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2166 | 6 | 1 | 44 | M | Brownsville | Dahomey | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2167 | 6 | 1 | 44 | F | Israel | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2168 | 6 | 1 | 44 | M | Brownsville | Israel | 1 | P | 269 | 11 | 7 | NA | NA | NA | NA | 0 | 79 |
| 2169 | 6 | 1 | 44 | F | Sweden | Brownsville | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2170 | 6 | 1 | 44 | M | Brownsville | Sweden | 1 | P | 260 | 10 | 22 | 0.993 | NA | NA | NA | 0 | 45 |
| 2171 | 6 | 1 | 44 | F | Barcelona | Dahomey | 1 | L | 258 | 10 | 20 | 1.057 | 25 | 28 | 53 | NA | NA |
| 2172 | 6 | 1 | 44 | M | Dahomey | Barcelona | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2173 | 6 | 1 | 44 | F | Brownsville | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2174 | 6 | 1 | 44 | M | Dahomey | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2175 | 6 | 1 | 44 | F | Dahomey | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2176 | 6 | 1 | 44 | M | Dahomey | Dahomey | 1 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2177 | 6 | 1 | 44 | F | Israel | Dahomey | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2178 | 6 | 1 | 44 | M | Dahomey | Israel | 1 | L | 262 | 10 | 0 | 0.988 | NA | NA | NA | 0 | 48 |
| 2179 | 6 | 1 | 44 | F | Sweden | Dahomey | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2180 | 6 | 1 | 44 | M | Dahomey | Sweden | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2181 | 6 | 1 | 44 | F | Barcelona | Israel | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2182 | 6 | 1 | 44 | M | Israel | Barcelona | 1 | P | 257 | 10 | 19 | NA | NA | NA | NA | NA | NA |
| 2183 | 6 | 1 | 44 | F | Brownsville | Israel | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2184 | 6 | 1 | 44 | M | Israel | Brownsville | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2185 | 6 | 1 | 44 | F | Dahomey | Israel | 1 | P | 275 | 11 | 13 | NA | 13 | 18 | 31 | NA | NA |
| 2186 | 6 | 1 | 44 | M | Israel | Dahomey | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2187 | 6 | 1 | 44 | F | Israel | Israel | 1 | P | 245 | 10 | 7 | 1.100 | 19 | 24 | 43 | NA | NA |
| 2188 | 6 | 1 | 44 | M | Israel | Israel | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2189 | 6 | 1 | 44 | F | Sweden | Israel | 1 | L | 251 | 10 | 13 | 1.124 | 21 | 45 | 66 | NA | NA |
| 2190 | 6 | 1 | 44 | M | Israel | Sweden | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2191 | 6 | 1 | 44 | F | Barcelona | Sweden | 0 | L | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2192 | 6 | 1 | 44 | M | Sweden | Barcelona | 0 | L | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2193 | 6 | 1 | 44 | F | Brownsville | Sweden | 1 | L | 275 | 11 | 13 | NA | 0 | 0 | 0 | NA | NA |
| 2194 | 6 | 1 | 44 | M | Sweden | Brownsville | 0 | N | NA | NA | NA | NA | NA | NA | NA | 0 | 0 |
| 2195 | 6 | 1 | 44 | F | Dahomey | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2196 | 6 | 1 | 44 | M | Sweden | Dahomey | 1 | L | 253 | 10 | 15 | 1.071 | NA | NA | NA | 58 | 81 |
| 2197 | 6 | 1 | 44 | F | Israel | Sweden | 1 | N | NA | NA | NA | 1.114 | 9 | 14 | 23 | NA | NA |
| 2198 | 6 | 1 | 44 | M | Sweden | Israel | 1 | N | 278 | 11 | 16 | NA | NA | NA | NA | 0 | 0 |
| 2199 | 6 | 1 | 44 | F | Sweden | Sweden | 0 | N | NA | NA | NA | NA | 0 | 0 | 0 | NA | NA |
| 2200 | 6 | 1 | 44 | M | Sweden | Sweden | 1 | P | 274 | 11 | 12 | NA | NA | NA | NA | 0 | 0 |
Columns represent:
Individual: the focal fly being tested.
Block: the distinct peirod of time that the particular individual was tested.
Duplicate: Was the fly from the first independent mitochondrial duplicate copy or the second?
Replicate: A set of all possible combinations of the 5 haplotypes. Each replicate contained 25 cells.
Sex: was the focal individual female or male?
Focal_haplotype: what mtDNA haplotype did the focal individual carry?
Social_haplotype: what mtDNA haplotype did the social competitor of the focal individual carry?
Survived: did the focal individual die as a larva (L), as a pupa (P) or survive to adutlhood (N)?
Social_survival: did the social competitor die as a larva (L), as a pupa (P) or survive to adutlhood (N)?
Dev_time: how many hours did it take for the focal individual to progress from an egg to an adult. NA values indicate where individuals did not survive or development time could not be measured.
Day: how many days did it take the focal individual to develop?
Hours: lights were turned on at 7am every morning. How many hours did it take for individuals to eclose after this time?
Wing_length: what was the length in mm of the focal individuals right wing?
Maternal_female_offspring: how many adult female offspring did a focal female produce in a two day period?
Maternal_male_offspring: how many adult male offspring did a focal female produce in a two day period?
Maternal_total_offspring: how many adult offspring did a focal female produce in a two day period?
Paternal_focal_offspring: how many red-eye phenotype offspring were there across the two vials in the male adult fitness assay?
Paternal_bw_offspring: how many brown-eye phenotype offspring were there across the two vials in the male adult fitness assay?
This section provides information on the operating system and R packages attached during the production of this document, to allow easier replication of the analysis.
sessionInfo() %>% pander
R version 3.6.1 (2019-07-05)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
locale: en_AU.UTF-8||en_AU.UTF-8||en_AU.UTF-8||C||en_AU.UTF-8||en_AU.UTF-8
attached base packages: stats, graphics, grDevices, utils, datasets, methods and base
other attached packages: forcats(v.0.4.0), stringr(v.1.4.0), pander(v.0.6.3), kableExtra(v.1.1.0), ggResidpanel(v.0.3.0), ggbeeswarm(v.0.6.0), ggpubr(v.0.2.2), magrittr(v.1.5), ggstance(v.0.3.2), ggExtra(v.0.8), ggridges(v.0.5.1), ggThemeAssist(v.0.1.5), ggplot2(v.3.2.1), MuMIn(v.1.43.6), dplyr(v.0.8.3), car(v.3.0-3), carData(v.3.0-2), brms(v.2.9.0), Rcpp(v.1.0.2), glmmTMB(v.0.2.3), lmerTest(v.3.1-0), lme4(v.1.1-21) and Matrix(v.1.2-17)
loaded via a namespace (and not attached): readxl(v.1.3.1), backports(v.1.1.4), plyr(v.1.8.4), igraph(v.1.2.4.1), lazyeval(v.0.2.2), TMB(v.1.7.15), splines(v.3.6.1), crosstalk(v.1.0.0), rstantools(v.1.5.1), inline(v.0.3.15), digest(v.0.6.20), qqplotr(v.0.0.3), htmltools(v.0.3.6), rsconnect(v.0.8.15), openxlsx(v.4.1.0.1), readr(v.1.3.1), matrixStats(v.0.54.0), xts(v.0.11-2), prettyunits(v.1.0.2), colorspace(v.1.4-1), rvest(v.0.3.4), haven(v.2.1.1), xfun(v.0.8), callr(v.3.3.1), crayon(v.1.3.4), jsonlite(v.1.6), zeallot(v.0.1.0), zoo(v.1.8-6), glue(v.1.3.1), gtable(v.0.3.0), webshot(v.0.5.1), pkgbuild(v.1.0.4), rstan(v.2.19.2), DEoptimR(v.1.0-8), abind(v.1.4-5), scales(v.1.0.0), miniUI(v.0.1.1.1), viridisLite(v.0.3.0), xtable(v.1.8-4), foreign(v.0.8-71), stats4(v.3.6.1), StanHeaders(v.2.18.1-10), DT(v.0.8), htmlwidgets(v.1.3), httr(v.1.4.1), threejs(v.0.3.1), pkgconfig(v.2.0.2), loo(v.2.1.0), tidyselect(v.0.2.5), labeling(v.0.3), rlang(v.0.4.0), reshape2(v.1.4.3), later(v.0.8.0), munsell(v.0.5.0), cellranger(v.1.1.0), tools(v.3.6.1), cli(v.1.1.0), evaluate(v.0.14), yaml(v.2.2.0), processx(v.3.4.1), knitr(v.1.24), zip(v.2.0.3), robustbase(v.0.93-5), purrr(v.0.3.2), nlme(v.3.1-140), mime(v.0.7), formatR(v.1.7), xml2(v.1.2.2), compiler(v.3.6.1), bayesplot(v.1.7.0), shinythemes(v.1.1.2), rstudioapi(v.0.10), beeswarm(v.0.2.3), plotly(v.4.9.0), curl(v.4.0), ggsignif(v.0.6.0), tibble(v.2.1.3), stringi(v.1.4.3), highr(v.0.8), ps(v.1.3.0), Brobdingnag(v.1.2-6), lattice(v.0.20-38), nloptr(v.1.2.1), markdown(v.1.1), shinyjs(v.1.0), vctrs(v.0.2.0), pillar(v.1.4.2), bridgesampling(v.0.7-2), data.table(v.1.12.2), cowplot(v.1.0.0), httpuv(v.1.5.1), R6(v.2.4.0), promises(v.1.0.1), gridExtra(v.2.3), rio(v.0.5.16), vipor(v.0.4.5), codetools(v.0.2-16), boot(v.1.3-22), colourpicker(v.1.0), MASS(v.7.3-51.4), gtools(v.3.8.1), assertthat(v.0.2.1), withr(v.2.1.2), shinystan(v.2.5.0), parallel(v.3.6.1), hms(v.0.5.0), grid(v.3.6.1), tidyr(v.0.8.3), coda(v.0.19-3), minqa(v.1.2.4), rmarkdown(v.1.14), numDeriv(v.2016.8-1.1), shiny(v.1.3.2), base64enc(v.0.1-3) and dygraphs(v.1.1.1.6)
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